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+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
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+                            Preamble
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+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -1,5 +1,5 @@
 ---
-title: ImageGen - Anima
+title: ImageGen5
 emoji: 🖼
 colorFrom: purple
 colorTo: red

app.py

@@ -46,11 +46,9 @@ def dummy_gpu_for_startup():
 
 
 def main():
-    from utils.app_utils import print_welcome_message
     from scripts import build_sage_attention
     from comfy_integration import setup as setup_comfyui
-
-    print_welcome_message()
+    from utils.app_utils import load_ipadapter_presets
     
     print("--- [Setup] Attempting to build and install SageAttention... ---")
     try:
@@ -75,8 +73,6 @@ def main():
     except Exception as e:
         print(f"--- [GPU Startup] ⚠️ Warning: Startup check failed: {e} ---")
 
-    from utils.app_utils import load_ipadapter_presets
-
     print("--- Starting Application Setup ---")
     
     print("--- Loading IPAdapter presets ---")

chain_injectors/anima_controlnet_lllite_injector.py

@@ -0,0 +1,48 @@
+def inject(assembler, chain_definition, chain_items):
+    if not chain_items:
+        return
+
+    ksampler_name = chain_definition.get('ksampler_node', 'ksampler')
+    if ksampler_name not in assembler.node_map:
+        print(f"Warning: KSampler node '{ksampler_name}' not found for Anima LLLite chain. Skipping.")
+        return
+        
+    ksampler_id = assembler.node_map[ksampler_name]
+
+    if 'model' not in assembler.workflow[ksampler_id]['inputs']:
+        print(f"Warning: KSampler node '{ksampler_name}' is missing 'model' input. Skipping.")
+        return
+        
+    current_model_connection = assembler.workflow[ksampler_id]['inputs']['model']
+    
+    for item_data in chain_items:
+        image_loader_id = assembler._get_unique_id()
+        image_loader_node = assembler._get_node_template("LoadImage")
+        image_loader_node['inputs']['image'] = item_data['image']
+        assembler.workflow[image_loader_id] = image_loader_node
+
+        image_scaler_id = assembler._get_unique_id()
+        image_scaler_node = assembler._get_node_template("ImageScaleToTotalPixels")
+        image_scaler_node['inputs']['image'] = [image_loader_id, 0]
+        image_scaler_node['inputs']['upscale_method'] = 'nearest-exact'
+        image_scaler_node['inputs']['megapixels'] = 1.0
+        assembler.workflow[image_scaler_id] = image_scaler_node
+
+        apply_cn_id = assembler._get_unique_id()
+        apply_cn_node = assembler._get_node_template("AnimaLLLiteApply")
+        
+        apply_cn_node['inputs']['lllite_name'] = item_data['control_net_name']
+        apply_cn_node['inputs']['strength'] = item_data['strength']
+        apply_cn_node['inputs']['start_percent'] = item_data.get('start_percent', 0.0)
+        apply_cn_node['inputs']['end_percent'] = item_data.get('end_percent', 1.0)
+
+        apply_cn_node['inputs']['model'] = current_model_connection
+        apply_cn_node['inputs']['image'] = [image_scaler_id, 0]
+        
+        assembler.workflow[apply_cn_id] = apply_cn_node
+
+        current_model_connection = [apply_cn_id, 0]
+
+    assembler.workflow[ksampler_id]['inputs']['model'] = current_model_connection
+    
+    print(f"Anima LLLite injector applied. KSampler model input re-routed through {len(chain_items)} LLLite(s).")

comfy_integration/setup.py

@@ -74,6 +74,14 @@ def initialize_comfyui():
     else:
         print("✅ ComfyUI-Newbie-Nodes extension already exists.")
 
+    # 5. ComfyUI-Anima-LLLite
+    anima_controlnet_lllite_nodes_path = os.path.join(APP_DIR, "custom_nodes", "ComfyUI-Anima-LLLite")
+    if not os.path.exists(anima_controlnet_lllite_nodes_path):
+        os.system(f"git clone https://github.com/kohya-ss/ComfyUI-Anima-LLLite.git {anima_controlnet_lllite_nodes_path}")
+        print("✅ ComfyUI-Anima-LLLite extension cloned.")
+    else:
+        print("✅ ComfyUI-Anima-LLLite extension already exists.")
+
     print(f"✅ Current working directory is: {os.getcwd()}")
     
     import comfy.model_management

core/pipelines/sd_image_pipeline.py

@@ -198,13 +198,14 @@ class SdImagePipeline(BasePipeline):
 
         if task_type == 'img2img':
             input_image_pil = ui_inputs.get('img2img_image')
-            if input_image_pil:
-                temp_file_path = os.path.join(INPUT_DIR, f"temp_input_{random.randint(1000, 9999)}.png")
-                input_image_pil.save(temp_file_path, "PNG")
-                ui_inputs['input_image'] = os.path.basename(temp_file_path)
-                temp_files_to_clean.append(temp_file_path)
-                ui_inputs['width'] = input_image_pil.width
-                ui_inputs['height'] = input_image_pil.height
+            if not input_image_pil:
+                raise gr.Error("Please upload an image for Image-to-Image.")
+            temp_file_path = os.path.join(INPUT_DIR, f"temp_input_{random.randint(1000, 9999)}.png")
+            input_image_pil.save(temp_file_path, "PNG")
+            ui_inputs['input_image'] = os.path.basename(temp_file_path)
+            temp_files_to_clean.append(temp_file_path)
+            ui_inputs['width'] = input_image_pil.width
+            ui_inputs['height'] = input_image_pil.height
         
         elif task_type == 'inpaint':
             inpaint_dict = ui_inputs.get('inpaint_image_dict')
@@ -231,22 +232,24 @@ class SdImagePipeline(BasePipeline):
 
         elif task_type == 'outpaint':
             input_image_pil = ui_inputs.get('outpaint_image')
-            if input_image_pil:
-                temp_file_path = os.path.join(INPUT_DIR, f"temp_input_{random.randint(1000, 9999)}.png")
-                input_image_pil.save(temp_file_path, "PNG")
-                ui_inputs['input_image'] = os.path.basename(temp_file_path)
-                temp_files_to_clean.append(temp_file_path)
+            if not input_image_pil:
+                raise gr.Error("Please upload an image for Outpainting.")
+            temp_file_path = os.path.join(INPUT_DIR, f"temp_input_{random.randint(1000, 9999)}.png")
+            input_image_pil.save(temp_file_path, "PNG")
+            ui_inputs['input_image'] = os.path.basename(temp_file_path)
+            temp_files_to_clean.append(temp_file_path)
             
             ui_inputs['megapixels'] = 0.25
             ui_inputs['grow_mask_by'] = ui_inputs.get('feathering', 10)
 
         elif task_type == 'hires_fix':
             input_image_pil = ui_inputs.get('hires_image')
-            if input_image_pil:
-                temp_file_path = os.path.join(INPUT_DIR, f"temp_input_{random.randint(1000, 9999)}.png")
-                input_image_pil.save(temp_file_path, "PNG")
-                ui_inputs['input_image'] = os.path.basename(temp_file_path)
-                temp_files_to_clean.append(temp_file_path)
+            if not input_image_pil:
+                raise gr.Error("Please upload an image for Hires Fix.")
+            temp_file_path = os.path.join(INPUT_DIR, f"temp_input_{random.randint(1000, 9999)}.png")
+            input_image_pil.save(temp_file_path, "PNG")
+            ui_inputs['input_image'] = os.path.basename(temp_file_path)
+            temp_files_to_clean.append(temp_file_path)
 
         embedding_data = ui_inputs.get('embedding_data', [])
         embedding_filenames = []
@@ -287,7 +290,24 @@ class SdImagePipeline(BasePipeline):
                         "image": os.path.basename(cn_temp_path), "strength": cn_strengths[i],
                         "start_percent": 0.0, "end_percent": 1.0, "control_net_name": cn_filepaths[i]
                     })
-                    
+        
+        anima_controlnet_lllite_data = ui_inputs.get('anima_controlnet_lllite_data', [])
+        active_anima_controlnets = []
+        if anima_controlnet_lllite_data:
+            (cn_images, _, _, cn_strengths, cn_filepaths, cn_starts, cn_ends) = [anima_controlnet_lllite_data[i::7] for i in range(7)]
+            for i in range(len(cn_images)):
+                if cn_images[i] and cn_strengths[i] > 0 and cn_filepaths[i] and cn_filepaths[i] != "None":
+                    from utils.app_utils import _ensure_model_downloaded
+                    _ensure_model_downloaded(cn_filepaths[i], progress)
+                    if not os.path.exists(INPUT_DIR): os.makedirs(INPUT_DIR)
+                    cn_temp_path = os.path.join(INPUT_DIR, f"temp_anima_cn_{i}_{random.randint(1000, 9999)}.png")
+                    cn_images[i].save(cn_temp_path, "PNG")
+                    temp_files_to_clean.append(cn_temp_path)
+                    active_anima_controlnets.append({
+                        "image": os.path.basename(cn_temp_path), "strength": cn_strengths[i],
+                        "start_percent": cn_starts[i], "end_percent": cn_ends[i], "control_net_name": cn_filepaths[i]
+                    })
+
         diffsynth_controlnet_data = ui_inputs.get('diffsynth_controlnet_data', [])
         active_diffsynth_controlnets = []
         if diffsynth_controlnet_data:
@@ -482,7 +502,8 @@ class SdImagePipeline(BasePipeline):
             "vae_name": ui_inputs.get('vae_name'),
             "guidance": ui_inputs.get('guidance', 3.5),
             "lora_chain": active_loras_for_gpu,
-            "controlnet_chain": active_controlnets,
+            "controlnet_chain": active_controlnets if not active_anima_controlnets else [],
+            "anima_controlnet_lllite_chain": active_anima_controlnets,
             "diffsynth_controlnet_chain": active_diffsynth_controlnets,
             "ipadapter_chain": active_ipadapters,
             "flux1_ipadapter_chain": active_flux1_ipadapters,

core/pipelines/workflow_recipes/_partials/conditioning/anima.yaml

@@ -43,6 +43,10 @@ dynamic_lora_chains:
       "model": ["ksampler:model"]
       "clip": ["pos_prompt:clip", "neg_prompt:clip"]
 
+dynamic_anima_controlnet_lllite_chains:
+  anima_controlnet_lllite_chain:
+    ksampler_node: "ksampler"
+
 dynamic_conditioning_chains:
   conditioning_chain:
     ksampler_node: "ksampler"

requirements.txt

@@ -1,10 +1,10 @@
-comfyui-frontend-package==1.42.15
-comfyui-workflow-templates==0.9.66
-comfyui-embedded-docs==0.4.4
-torch==2.10.0
+comfyui-frontend-package==1.43.18
+comfyui-workflow-templates==0.9.77
+comfyui-embedded-docs==0.5.0
+torch
 torchsde
-torchvision==0.25.0
-torchaudio==2.10.0
+torchvision
+torchaudio
 numpy>=1.25.0
 einops
 transformers>=4.50.3

ui/events.py

@@ -51,6 +51,38 @@ def get_cn_defaults(arch_val):
                 
     return all_types, default_type, series_choices, default_series, filepath
 
+@lru_cache(maxsize=1)
+def load_anima_controlnet_lllite_config():
+    _PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+    _CN_MODEL_LIST_PATH = os.path.join(_PROJECT_ROOT, 'yaml', 'anima_controlnet_lllite_models.yaml')
+    try:
+        print("--- Loading anima_controlnet_lllite_models.yaml ---")
+        with open(_CN_MODEL_LIST_PATH, 'r', encoding='utf-8') as f:
+            config = yaml.safe_load(f)
+        print("--- ✅ anima_controlnet_lllite_models.yaml loaded successfully ---")
+        return config.get("Anima_ControlNet_Lllite", [])
+    except Exception as e:
+        print(f"Error loading anima_controlnet_lllite_models.yaml: {e}")
+        return []
+
+def get_anima_cn_defaults():
+    cn_config = load_anima_controlnet_lllite_config()
+    if not cn_config:
+        return [], None, [], None, "None"
+    all_types = sorted(list(set(t for model in cn_config for t in model.get("Type", []))))
+    default_type = all_types[0] if all_types else None
+    series_choices = []
+    if default_type:
+        series_choices = sorted(list(set(model.get("Series", "Default") for model in cn_config if default_type in model.get("Type", []))))
+    default_series = series_choices[0] if series_choices else None
+    filepath = "None"
+    if default_series and default_type:
+        for model in cn_config:
+            if model.get("Series") == default_series and default_type in model.get("Type", []):
+                filepath = model.get("Filepath")
+                break
+    return all_types, default_type, series_choices, default_series, filepath
+
 @lru_cache(maxsize=1)
 def load_diffsynth_controlnet_config():
     _PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
@@ -247,8 +279,8 @@ def attach_event_handlers(ui_components, demo):
         del_button = ui_components[f'delete_controlnet_button_{prefix}']
         accordion = ui_components[f'controlnet_accordion_{prefix}']
 
-        arch_comp = ui_components.get(f'model_arch_{prefix}')
-        actual_arch_comp = arch_comp if arch_comp else gr.State("SDXL")
+        base_model_comp = ui_components.get(f'base_model_{prefix}')
+        actual_arch_comp = base_model_comp if base_model_comp else gr.State("SDXL")
 
         def add_cn_row(c):
             c += 1
@@ -277,11 +309,13 @@ def attach_event_handlers(ui_components, demo):
         add_button.click(fn=add_cn_row, inputs=[count_state], outputs=add_outputs, show_progress=False)
         del_button.click(fn=del_cn_row, inputs=[count_state], outputs=del_outputs, show_progress=False)
         
-        def on_cn_type_change(selected_type, arch_val):
+        def on_cn_type_change(selected_type, model_name):
+            from core.settings import MODEL_TYPE_MAP
+            m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL"
             cn_full_config = load_controlnet_config()
             
             architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {})
-            controlnet_key = architectures_dict.get(arch_val, {}).get("controlnet_key", arch_val)
+            controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type)
 
             cn_config = cn_full_config.get(controlnet_key, [])
             series_choices = []
@@ -299,11 +333,13 @@ def attach_event_handlers(ui_components, demo):
                         break
             return gr.update(choices=series_choices, value=default_series), filepath
 
-        def on_cn_series_change(selected_series, selected_type, arch_val):
+        def on_cn_series_change(selected_series, selected_type, model_name):
+            from core.settings import MODEL_TYPE_MAP
+            m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL"
             cn_full_config = load_controlnet_config()
             
             architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {})
-            controlnet_key = architectures_dict.get(arch_val, {}).get("controlnet_key", arch_val)
+            controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type)
 
             cn_config = cn_full_config.get(controlnet_key, [])
             filepath = "None"
@@ -338,6 +374,98 @@ def attach_event_handlers(ui_components, demo):
             show_progress=False
         )
 
+    def create_anima_controlnet_lllite_event_handlers(prefix):
+        cn_rows = ui_components.get(f'anima_controlnet_lllite_rows_{prefix}')
+        if not cn_rows: return
+        cn_types = ui_components[f'anima_controlnet_lllite_types_{prefix}']
+        cn_series = ui_components[f'anima_controlnet_lllite_series_{prefix}']
+        cn_filepaths = ui_components[f'anima_controlnet_lllite_filepaths_{prefix}']
+        cn_images = ui_components[f'anima_controlnet_lllite_images_{prefix}']
+        cn_strengths = ui_components[f'anima_controlnet_lllite_strengths_{prefix}']
+        
+        count_state = ui_components[f'anima_controlnet_lllite_count_state_{prefix}']
+        add_button = ui_components[f'add_anima_controlnet_lllite_button_{prefix}']
+        del_button = ui_components[f'delete_anima_controlnet_lllite_button_{prefix}']
+        accordion = ui_components[f'anima_controlnet_lllite_accordion_{prefix}']
+
+        def add_cn_row(c):
+            c += 1
+            updates = {
+                count_state: c,
+                cn_rows[c-1]: gr.update(visible=True),
+                add_button: gr.update(visible=c < MAX_CONTROLNETS),
+                del_button: gr.update(visible=True)
+            }
+            return updates
+
+        def del_cn_row(c):
+            c -= 1
+            updates = {
+                count_state: c,
+                cn_rows[c]: gr.update(visible=False),
+                cn_images[c]: None,
+                cn_strengths[c]: 1.0,
+                add_button: gr.update(visible=True),
+                del_button: gr.update(visible=c > 0)
+            }
+            return updates
+            
+        add_outputs = [count_state, add_button, del_button] + cn_rows
+        del_outputs = [count_state, add_button, del_button] + cn_rows + cn_images + cn_strengths
+        add_button.click(fn=add_cn_row, inputs=[count_state], outputs=add_outputs, show_progress=False)
+        del_button.click(fn=del_cn_row, inputs=[count_state], outputs=del_outputs, show_progress=False)
+        
+        def on_cn_type_change(selected_type):
+            cn_config = load_anima_controlnet_lllite_config()
+            series_choices = []
+            if selected_type:
+                series_choices = sorted(list(set(
+                    model.get("Series", "Default") for model in cn_config
+                    if selected_type in model.get("Type", [])
+                )))
+            default_series = series_choices[0] if series_choices else None
+            filepath = "None"
+            if default_series:
+                for model in cn_config:
+                    if model.get("Series") == default_series and selected_type in model.get("Type", []):
+                        filepath = model.get("Filepath")
+                        break
+            return gr.update(choices=series_choices, value=default_series), filepath
+
+        def on_cn_series_change(selected_series, selected_type):
+            cn_config = load_anima_controlnet_lllite_config()
+            filepath = "None"
+            if selected_series and selected_type:
+                for model in cn_config:
+                    if model.get("Series") == selected_series and selected_type in model.get("Type", []):
+                        filepath = model.get("Filepath")
+                        break
+            return filepath
+            
+        for i in range(MAX_CONTROLNETS):
+            cn_types[i].change(
+                fn=on_cn_type_change,
+                inputs=[cn_types[i]],
+                outputs=[cn_series[i], cn_filepaths[i]],
+                show_progress=False
+            )
+            cn_series[i].change(
+                fn=on_cn_series_change,
+                inputs=[cn_series[i], cn_types[i]],
+                outputs=[cn_filepaths[i]],
+                show_progress=False
+            )
+
+        def on_accordion_expand(*images):
+            return [gr.update() for _ in images]
+        
+        accordion.expand(
+            fn=on_accordion_expand,
+            inputs=cn_images,
+            outputs=cn_images,
+            show_progress=False
+        )
+
     def create_diffsynth_controlnet_event_handlers(prefix):
         cn_rows = ui_components.get(f'diffsynth_controlnet_rows_{prefix}')
         if not cn_rows: return
@@ -352,8 +480,8 @@ def attach_event_handlers(ui_components, demo):
         del_button = ui_components[f'delete_diffsynth_controlnet_button_{prefix}']
         accordion = ui_components[f'diffsynth_controlnet_accordion_{prefix}']
 
-        arch_comp = ui_components.get(f'model_arch_{prefix}')
-        actual_arch_comp = arch_comp if arch_comp else gr.State("Z-Image")
+        base_model_comp = ui_components.get(f'base_model_{prefix}')
+        actual_arch_comp = base_model_comp if base_model_comp else gr.State("SDXL")
 
         def add_cn_row(c):
             c += 1
@@ -382,11 +510,13 @@ def attach_event_handlers(ui_components, demo):
         add_button.click(fn=add_cn_row, inputs=[count_state], outputs=add_outputs, show_progress=False)
         del_button.click(fn=del_cn_row, inputs=[count_state], outputs=del_outputs, show_progress=False)
         
-        def on_cn_type_change(selected_type, arch_val):
+        def on_cn_type_change(selected_type, model_name):
+            from core.settings import MODEL_TYPE_MAP
+            m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL"
             cn_full_config = load_diffsynth_controlnet_config()
             
             architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {})
-            controlnet_key = architectures_dict.get(arch_val, {}).get("controlnet_key", arch_val)
+            controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type)
 
             cn_config = cn_full_config.get(controlnet_key, [])
             series_choices = []
@@ -404,11 +534,13 @@ def attach_event_handlers(ui_components, demo):
                         break
             return gr.update(choices=series_choices, value=default_series), filepath
 
-        def on_cn_series_change(selected_series, selected_type, arch_val):
+        def on_cn_series_change(selected_series, selected_type, model_name):
+            from core.settings import MODEL_TYPE_MAP
+            m_type = MODEL_TYPE_MAP.get(model_name, "SDXL") if model_name else "SDXL"
             cn_full_config = load_diffsynth_controlnet_config()
             
             architectures_dict = ARCHITECTURES_CONFIG.get('architectures', {})
-            controlnet_key = architectures_dict.get(arch_val, {}).get("controlnet_key", arch_val)
+            controlnet_key = architectures_dict.get(m_type, {}).get("controlnet_key", m_type)
 
             cn_config = cn_full_config.get(controlnet_key, [])
             filepath = "None"
@@ -711,6 +843,7 @@ def attach_event_handlers(ui_components, demo):
         
         lora_data_components = ui_components.get(f'all_lora_components_flat_{prefix}', [])
         controlnet_data_components = ui_components.get(f'all_controlnet_components_flat_{prefix}', [])
+        anima_controlnet_lllite_data_components = ui_components.get(f'all_anima_controlnet_lllite_components_flat_{prefix}', [])
         diffsynth_controlnet_data_components = ui_components.get(f'all_diffsynth_controlnet_components_flat_{prefix}', [])
         ipadapter_data_components = ui_components.get(f'all_ipadapter_components_flat_{prefix}', [])
         sd3_ipadapter_data_components = ui_components.get(f'all_sd3_ipadapter_components_flat_{prefix}', [])
@@ -727,7 +860,7 @@ def attach_event_handlers(ui_components, demo):
         input_keys = list(run_inputs_map.keys())
         input_list_flat = [v for v in run_inputs_map.values() if v is not None]
         all_chains = [
-            lora_data_components, controlnet_data_components, diffsynth_controlnet_data_components, ipadapter_data_components,
+            lora_data_components, controlnet_data_components, anima_controlnet_lllite_data_components, diffsynth_controlnet_data_components, ipadapter_data_components,
             sd3_ipadapter_data_components, flux1_ipadapter_data_components, style_data_components,
             embedding_data_components, conditioning_data_components, reference_latent_data_components
         ]
@@ -748,6 +881,7 @@ def attach_event_handlers(ui_components, demo):
 
             assign_chain_data('lora_data', lora_data_components)
             assign_chain_data('controlnet_data', controlnet_data_components)
+            assign_chain_data('anima_controlnet_lllite_data', anima_controlnet_lllite_data_components)
             assign_chain_data('diffsynth_controlnet_data', diffsynth_controlnet_data_components)
             assign_chain_data('ipadapter_data', ipadapter_data_components)
             assign_chain_data('sd3_ipadapter_chain', sd3_ipadapter_data_components)
@@ -768,7 +902,7 @@ def attach_event_handlers(ui_components, demo):
                 outputs=[res_gal]
             )
 
-    def make_update_fn(m_comp, cat_comp, cs_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, ipa_preset, lora_acc, cn_acc, diffsynth_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp):
+    def make_update_fn(m_comp, cat_comp, cs_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp):
         def update_fn(*args):
             arch = args[0]
             category = args[1]
@@ -810,6 +944,7 @@ def attach_event_handlers(ui_components, demo):
 
             if lora_acc: updates[lora_acc] = gr.update(visible=('lora' in enabled_chains))
             if cn_acc: updates[cn_acc] = gr.update(visible=('controlnet' in enabled_chains))
+            if anima_cn_acc: updates[anima_cn_acc] = gr.update(visible=('anima_controlnet_lllite' in enabled_chains))
             if diffsynth_cn_acc: updates[diffsynth_cn_acc] = gr.update(visible=('controlnet_model_patch' in enabled_chains))
             if ipa_acc: updates[ipa_acc] = gr.update(visible=('ipadapter' in enabled_chains))
             if flux1_ipa_acc: updates[flux1_ipa_acc] = gr.update(visible=('flux1_ipadapter' in enabled_chains))
@@ -844,6 +979,14 @@ def attach_event_handlers(ui_components, demo):
                 updates[s_comp] = gr.update(choices=series_choices, value=default_series)
             for f_comp in cn_filepaths:
                 updates[f_comp] = filepath
+
+            anima_all_types, anima_default_type, anima_series_choices, anima_default_series, anima_filepath = get_anima_cn_defaults()
+            for t_comp in anima_cn_types:
+                updates[t_comp] = gr.update(choices=anima_all_types, value=anima_default_type)
+            for s_comp in anima_cn_series:
+                updates[s_comp] = gr.update(choices=anima_series_choices, value=anima_default_series)
+            for f_comp in anima_cn_filepaths:
+                updates[f_comp] = anima_filepath
                 
             diffsynth_all_types, diffsynth_default_type, diffsynth_series_choices, diffsynth_default_series, diffsynth_filepath = get_diffsynth_cn_defaults(controlnet_key)
             for t_comp in diffsynth_cn_types:
@@ -873,7 +1016,7 @@ def attach_event_handlers(ui_components, demo):
             return updates
         return update_fn
 
-    def make_model_change_fn(cat_comp_ref, cs_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, arch_comp_ref, ipa_preset, lora_acc, cn_acc, diffsynth_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp):
+    def make_model_change_fn(cat_comp_ref, cs_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, arch_comp_ref, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp):
         def change_fn(*args):
             model_name = args[0]
             idx = 1
@@ -919,6 +1062,7 @@ def attach_event_handlers(ui_components, demo):
 
             if lora_acc: updates[lora_acc] = gr.update(visible=('lora' in enabled_chains))
             if cn_acc: updates[cn_acc] = gr.update(visible=('controlnet' in enabled_chains))
+            if anima_cn_acc: updates[anima_cn_acc] = gr.update(visible=('anima_controlnet_lllite' in enabled_chains))
             if diffsynth_cn_acc: updates[diffsynth_cn_acc] = gr.update(visible=('controlnet_model_patch' in enabled_chains))
             if ipa_acc: updates[ipa_acc] = gr.update(visible=('ipadapter' in enabled_chains))
             if flux1_ipa_acc: updates[flux1_ipa_acc] = gr.update(visible=('flux1_ipadapter' in enabled_chains))
@@ -953,6 +1097,14 @@ def attach_event_handlers(ui_components, demo):
                 updates[s_comp] = gr.update(choices=series_choices, value=default_series)
             for f_comp in cn_filepaths:
                 updates[f_comp] = filepath
+
+            anima_all_types, anima_default_type, anima_series_choices, anima_default_series, anima_filepath = get_anima_cn_defaults()
+            for t_comp in anima_cn_types:
+                updates[t_comp] = gr.update(choices=anima_all_types, value=anima_default_type)
+            for s_comp in anima_cn_series:
+                updates[s_comp] = gr.update(choices=anima_series_choices, value=anima_default_series)
+            for f_comp in anima_cn_filepaths:
+                updates[f_comp] = anima_filepath
                 
             diffsynth_all_types, diffsynth_default_type, diffsynth_series_choices, diffsynth_default_series, diffsynth_filepath = get_diffsynth_cn_defaults(controlnet_key)
             for t_comp in diffsynth_cn_types:
@@ -1001,12 +1153,17 @@ def attach_event_handlers(ui_components, demo):
         cn_series_list = ui_components.get(f'controlnet_series_{prefix}', [])
         cn_filepaths_list = ui_components.get(f'controlnet_filepaths_{prefix}', [])
         
+        anima_cn_types_list = ui_components.get(f'anima_controlnet_lllite_types_{prefix}', [])
+        anima_cn_series_list = ui_components.get(f'anima_controlnet_lllite_series_{prefix}', [])
+        anima_cn_filepaths_list = ui_components.get(f'anima_controlnet_lllite_filepaths_{prefix}', [])
+
         diffsynth_cn_types_list = ui_components.get(f'diffsynth_controlnet_types_{prefix}', [])
         diffsynth_cn_series_list = ui_components.get(f'diffsynth_controlnet_series_{prefix}', [])
         diffsynth_cn_filepaths_list = ui_components.get(f'diffsynth_controlnet_filepaths_{prefix}', [])
         
         lora_accordion = ui_components.get(f'lora_accordion_{prefix}')
         cn_accordion = ui_components.get(f'controlnet_accordion_{prefix}')
+        anima_cn_accordion = ui_components.get(f'anima_controlnet_lllite_accordion_{prefix}')
         diffsynth_cn_accordion = ui_components.get(f'diffsynth_controlnet_accordion_{prefix}')
         ipa_accordion = ui_components.get(f'ipadapter_accordion_{prefix}')
         sd3_ipa_accordion = ui_components.get(f'sd3_ipadapter_accordion_{prefix}')
@@ -1034,9 +1191,11 @@ def attach_event_handlers(ui_components, demo):
             if guidance_comp: outputs.append(guidance_comp)
             if aspect_ratio_comp: outputs.append(aspect_ratio_comp)
             outputs.extend(cn_types_list + cn_series_list + cn_filepaths_list)
+            outputs.extend(anima_cn_types_list + anima_cn_series_list + anima_cn_filepaths_list)
             outputs.extend(diffsynth_cn_types_list + diffsynth_cn_series_list + diffsynth_cn_filepaths_list)
             if lora_accordion: outputs.append(lora_accordion)
             if cn_accordion: outputs.append(cn_accordion)
+            if anima_cn_accordion: outputs.append(anima_cn_accordion)
             if diffsynth_cn_accordion: outputs.append(diffsynth_cn_accordion)
             if ipa_accordion: outputs.append(ipa_accordion)
             if sd3_ipa_accordion: outputs.append(sd3_ipa_accordion)
@@ -1052,8 +1211,9 @@ def attach_event_handlers(ui_components, demo):
             update_fn = make_update_fn(
                 model_comp, cat_comp, clip_skip_comp, aspect_ratio_comp, width_comp, height_comp, 
                 cn_types_list, cn_series_list, cn_filepaths_list, 
+                anima_cn_types_list, anima_cn_series_list, anima_cn_filepaths_list,
                 diffsynth_cn_types_list, diffsynth_cn_series_list, diffsynth_cn_filepaths_list, 
-                ipa_preset_list, lora_accordion, cn_accordion, diffsynth_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
+                ipa_preset_list, lora_accordion, cn_accordion, anima_cn_accordion, diffsynth_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
                 ref_latent_accordion, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp
             )
             inputs = [arch_comp, cat_comp]
@@ -1070,9 +1230,11 @@ def attach_event_handlers(ui_components, demo):
             if guidance_comp: outputs2.append(guidance_comp)
             if aspect_ratio_comp: outputs2.append(aspect_ratio_comp)
             outputs2.extend(cn_types_list + cn_series_list + cn_filepaths_list)
+            outputs2.extend(anima_cn_types_list + anima_cn_series_list + anima_cn_filepaths_list)
             outputs2.extend(diffsynth_cn_types_list + diffsynth_cn_series_list + diffsynth_cn_filepaths_list)
             if lora_accordion: outputs2.append(lora_accordion)
             if cn_accordion: outputs2.append(cn_accordion)
+            if anima_cn_accordion: outputs2.append(anima_cn_accordion)
             if diffsynth_cn_accordion: outputs2.append(diffsynth_cn_accordion)
             if ipa_accordion: outputs2.append(ipa_accordion)
             if sd3_ipa_accordion: outputs2.append(sd3_ipa_accordion)
@@ -1093,14 +1255,16 @@ def attach_event_handlers(ui_components, demo):
                 change_fn = make_model_change_fn(
                     cat_comp, clip_skip_comp, aspect_ratio_comp, width_comp, height_comp, 
                     cn_types_list, cn_series_list, cn_filepaths_list, 
+                    anima_cn_types_list, anima_cn_series_list, anima_cn_filepaths_list,
                     diffsynth_cn_types_list, diffsynth_cn_series_list, diffsynth_cn_filepaths_list, 
-                    arch_comp, ipa_preset_list, lora_accordion, cn_accordion, diffsynth_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
+                    arch_comp, ipa_preset_list, lora_accordion, cn_accordion, anima_cn_accordion, diffsynth_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
                     ref_latent_accordion, guidance_comp, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp
                 )
                 model_comp.change(fn=change_fn, inputs=inputs2, outputs=outputs2)
 
         create_lora_event_handlers(prefix)
         create_controlnet_event_handlers(prefix)
+        create_anima_controlnet_lllite_event_handlers(prefix)
         create_diffsynth_controlnet_event_handlers(prefix)
         create_ipadapter_event_handlers(prefix)
         create_embedding_event_handlers(prefix)
@@ -1159,6 +1323,7 @@ def attach_event_handlers(ui_components, demo):
         controlnet_key = architectures_dict.get(default_m_type, {}).get("controlnet_key", default_m_type)
         
         all_types, default_type, series_choices, default_series, filepath = get_cn_defaults(controlnet_key)
+        anima_all_types, anima_default_type, anima_series_choices, anima_default_series, anima_filepath = get_anima_cn_defaults()
         diffsynth_all_types, diffsynth_default_type, diffsynth_series_choices, diffsynth_default_series, diffsynth_filepath = get_diffsynth_cn_defaults(controlnet_key)
         
         updates = {}
@@ -1170,6 +1335,14 @@ def attach_event_handlers(ui_components, demo):
                     updates[series_dd] = gr.update(choices=series_choices, value=default_series)
                 for filepath_state in ui_components[f'controlnet_filepaths_{prefix}']:
                     updates[filepath_state] = filepath
+
+            if f'anima_controlnet_lllite_types_{prefix}' in ui_components:
+                for type_dd in ui_components[f'anima_controlnet_lllite_types_{prefix}']:
+                    updates[type_dd] = gr.update(choices=anima_all_types, value=anima_default_type)
+                for series_dd in ui_components[f'anima_controlnet_lllite_series_{prefix}']:
+                    updates[series_dd] = gr.update(choices=anima_series_choices, value=anima_default_series)
+                for filepath_state in ui_components[f'anima_controlnet_lllite_filepaths_{prefix}']:
+                    updates[filepath_state] = anima_filepath
             
             if f'diffsynth_controlnet_types_{prefix}' in ui_components:
                 for type_dd in ui_components[f'diffsynth_controlnet_types_{prefix}']:
@@ -1224,6 +1397,10 @@ def attach_event_handlers(ui_components, demo):
             all_load_outputs.extend(ui_components[f'controlnet_types_{prefix}'])
             all_load_outputs.extend(ui_components[f'controlnet_series_{prefix}'])
             all_load_outputs.extend(ui_components[f'controlnet_filepaths_{prefix}'])
+        if f'anima_controlnet_lllite_types_{prefix}' in ui_components:
+            all_load_outputs.extend(ui_components[f'anima_controlnet_lllite_types_{prefix}'])
+            all_load_outputs.extend(ui_components[f'anima_controlnet_lllite_series_{prefix}'])
+            all_load_outputs.extend(ui_components[f'anima_controlnet_lllite_filepaths_{prefix}'])
         if f'diffsynth_controlnet_types_{prefix}' in ui_components:
             all_load_outputs.extend(ui_components[f'diffsynth_controlnet_types_{prefix}'])
             all_load_outputs.extend(ui_components[f'diffsynth_controlnet_series_{prefix}'])

ui/layout.py

@@ -10,14 +10,17 @@ def build_ui(event_handler_function):
     ui_components = {}
 
     with gr.Blocks() as demo:
-        gr.Markdown("# ImageGen - Anima")
+        gr.Markdown("# ImageGen")
         gr.Markdown(
             "This demo is a streamlined version of the [Comfy web UI](https://github.com/RioShiina47/comfy-webui)'s [ImageGen](https://huggingface.co/spaces/RioShiina/ImageGen) functionality. "
-            "Other versions are also available: "
-            "[FLUX.2-KV](https://huggingface.co/spaces/RioShiina/ImageGen-FLUX.2-KV), "
-            "[Illustrious](https://huggingface.co/spaces/RioShiina/ImageGen-Illustrious), "
-            "[NoobAI](https://huggingface.co/spaces/RioShiina/ImageGen-NoobAI), "
-            "[Pony](https://huggingface.co/spaces/RioShiina/ImageGen-Pony)"
+            "Other spaces: [ImageGen1](https://huggingface.co/spaces/RioShiina/ImageGen1), "
+            "[ImageGen2](https://huggingface.co/spaces/RioShiina/ImageGen2), "
+            "[ImageGen3](https://huggingface.co/spaces/RioShiina/ImageGen3), "
+            "[ImageGen4](https://huggingface.co/spaces/RioShiina/ImageGen4), "
+            "[ImageGen5](https://huggingface.co/spaces/RioShiina/ImageGen5), "
+            "[ImageGen6](https://huggingface.co/spaces/RioShiina/ImageGen6), "
+            "[ImageGen7](https://huggingface.co/spaces/RioShiina/ImageGen7), "
+            "[ImageGen8](https://huggingface.co/spaces/RioShiina/ImageGen8)"
         )
         with gr.Tabs(elem_id="tabs_container") as tabs:
             with gr.TabItem("Txt2Img", id=0):

ui/shared/hires_fix_ui.py

@@ -3,7 +3,7 @@ from core.settings import MODEL_MAP_CHECKPOINT
 from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES
 from .ui_components import (
     create_lora_settings_ui,
-    create_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
+    create_controlnet_ui, create_anima_controlnet_lllite_ui, create_ipadapter_ui, create_embedding_ui,
     create_conditioning_ui, create_vae_override_ui,
     create_model_architecture_filter_ui, create_category_filter_ui,
     create_sd3_ipadapter_ui, create_flux1_ipadapter_ui, create_style_ui,
@@ -74,6 +74,7 @@ def create_ui():
 
         components.update(create_lora_settings_ui(prefix))
         components.update(create_controlnet_ui(prefix))
+        components.update(create_anima_controlnet_lllite_ui(prefix))
         components.update(create_ipadapter_ui(prefix))
         components.update(create_flux1_ipadapter_ui(prefix))
         components.update(create_sd3_ipadapter_ui(prefix))

ui/shared/img2img_ui.py

@@ -3,7 +3,7 @@ from core.settings import MODEL_MAP_CHECKPOINT
 from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES
 from .ui_components import (
     create_lora_settings_ui,
-    create_controlnet_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
+    create_controlnet_ui, create_anima_controlnet_lllite_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
     create_conditioning_ui, create_vae_override_ui,
     create_model_architecture_filter_ui, create_category_filter_ui,
     create_sd3_ipadapter_ui, create_flux1_ipadapter_ui, create_style_ui,
@@ -55,6 +55,7 @@ def create_ui():
 
         components.update(create_lora_settings_ui(prefix))
         components.update(create_controlnet_ui(prefix))
+        components.update(create_anima_controlnet_lllite_ui(prefix))
         components.update(create_diffsynth_controlnet_ui(prefix))
         components.update(create_ipadapter_ui(prefix))
         components.update(create_flux1_ipadapter_ui(prefix))

ui/shared/inpaint_ui.py

@@ -2,7 +2,7 @@ import gradio as gr
 from core.settings import MODEL_MAP_CHECKPOINT
 from .ui_components import (
     create_base_parameter_ui, create_lora_settings_ui,
-    create_controlnet_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
+    create_controlnet_ui, create_anima_controlnet_lllite_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
     create_conditioning_ui, create_vae_override_ui,
     create_model_architecture_filter_ui, create_category_filter_ui,
     create_sd3_ipadapter_ui, create_flux1_ipadapter_ui, create_style_ui,
@@ -87,6 +87,7 @@ def create_ui():
 
             components.update(create_lora_settings_ui(prefix))
             components.update(create_controlnet_ui(prefix))
+            components.update(create_anima_controlnet_lllite_ui(prefix))
             components.update(create_diffsynth_controlnet_ui(prefix))
             components.update(create_ipadapter_ui(prefix))
             components.update(create_flux1_ipadapter_ui(prefix))

ui/shared/outpaint_ui.py

@@ -3,7 +3,7 @@ from core.settings import MODEL_MAP_CHECKPOINT
 from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES
 from .ui_components import (
     create_lora_settings_ui,
-    create_controlnet_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
+    create_controlnet_ui, create_anima_controlnet_lllite_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
     create_conditioning_ui, create_vae_override_ui,
     create_model_architecture_filter_ui, create_category_filter_ui,
     create_sd3_ipadapter_ui, create_flux1_ipadapter_ui, create_style_ui,
@@ -70,6 +70,7 @@ def create_ui():
 
         components.update(create_lora_settings_ui(prefix))
         components.update(create_controlnet_ui(prefix))
+        components.update(create_anima_controlnet_lllite_ui(prefix))
         components.update(create_diffsynth_controlnet_ui(prefix))
         components.update(create_ipadapter_ui(prefix))
         components.update(create_flux1_ipadapter_ui(prefix))

ui/shared/txt2img_ui.py

@@ -2,7 +2,7 @@ import gradio as gr
 from core.settings import MODEL_MAP_CHECKPOINT
 from .ui_components import (
     create_base_parameter_ui, create_lora_settings_ui,
-    create_controlnet_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
+    create_controlnet_ui, create_anima_controlnet_lllite_ui, create_diffsynth_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
     create_conditioning_ui, create_vae_override_ui,
     create_model_architecture_filter_ui, create_category_filter_ui,
     create_sd3_ipadapter_ui, create_flux1_ipadapter_ui, create_style_ui,
@@ -42,6 +42,7 @@ def create_ui():
 
         components.update(create_lora_settings_ui(prefix))
         components.update(create_controlnet_ui(prefix))
+        components.update(create_anima_controlnet_lllite_ui(prefix))
         components.update(create_diffsynth_controlnet_ui(prefix))
         components.update(create_ipadapter_ui(prefix))
         components.update(create_flux1_ipadapter_ui(prefix))

ui/shared/ui_components.py

@@ -3,11 +3,13 @@ from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES
 from core.settings import (
     MAX_LORAS, LORA_SOURCE_CHOICES, MAX_EMBEDDINGS, MAX_CONDITIONINGS,
     MAX_CONTROLNETS, MAX_IPADAPTERS, RESOLUTION_MAP, ARCHITECTURES_CONFIG,
-    MODEL_MAP_CHECKPOINT, MODEL_TYPE_MAP, FEATURES_CONFIG, ARCH_CATEGORIES_MAP
+    MODEL_MAP_CHECKPOINT, MODEL_TYPE_MAP, FEATURES_CONFIG, ARCH_CATEGORIES_MAP,
+    VAE_DIR
 )
 import yaml
 import os
 from functools import lru_cache
+from utils.app_utils import save_uploaded_file_with_hash
 
 default_model_name = list(MODEL_MAP_CHECKPOINT.keys())[0] if MODEL_MAP_CHECKPOINT else None
 default_m_type = MODEL_TYPE_MAP.get(default_model_name, "SDXL") if default_model_name else "SDXL"
@@ -51,7 +53,7 @@ def create_model_architecture_filter_ui(prefix):
         choices=choices,
         value="ALL",
         interactive=True,
-        visible=False
+        visible=True
     )
     return components
 
@@ -186,6 +188,54 @@ def create_controlnet_ui(prefix: str, max_units=MAX_CONTROLNETS):
 
     return components
 
+def create_anima_controlnet_lllite_ui(prefix: str, max_units=MAX_CONTROLNETS):
+    components = {}
+    key = lambda name: f"{name}_{prefix}"
+
+    with gr.Accordion("Anima ControlNet Lllite Settings", open=False, visible=('anima_controlnet_lllite' in default_enabled_chains)) as accordion:
+        components[key('anima_controlnet_lllite_accordion')] = accordion
+        gr.Markdown("💡 **Tip:** Processed using the [kohya-ss/ComfyUI-Anima-LLLite](https://github.com/kohya-ss/ComfyUI-Anima-LLLite) node.")
+        
+        cn_rows, images, series, types, strengths, filepaths, start_percents, end_percents = [], [], [], [], [], [], [], []
+        components.update({
+            key('anima_controlnet_lllite_rows'): cn_rows,
+            key('anima_controlnet_lllite_images'): images,
+            key('anima_controlnet_lllite_series'): series,
+            key('anima_controlnet_lllite_types'): types,
+            key('anima_controlnet_lllite_strengths'): strengths,
+            key('anima_controlnet_lllite_filepaths'): filepaths,
+            key('anima_controlnet_lllite_start_percents'): start_percents,
+            key('anima_controlnet_lllite_end_percents'): end_percents
+        })
+        
+        for i in range(max_units):
+            with gr.Row(visible=(i < 1)) as row:
+                with gr.Column(scale=1):
+                    images.append(gr.Image(label=f"Control Image {i+1}", type="pil", sources=["upload"], height=256))
+                with gr.Column(scale=2):
+                    types.append(gr.Dropdown(label="Type", choices=[], interactive=True, allow_custom_value=True))
+                    series.append(gr.Dropdown(label="Series", choices=[], interactive=True, allow_custom_value=True))
+                    strengths.append(gr.Slider(label="Strength", minimum=0.0, maximum=2.0, step=0.05, value=1.0, interactive=True))
+                    with gr.Row(visible=False):
+                        start_percents.append(gr.State(0.0))
+                        end_percents.append(gr.State(1.0))
+                    filepaths.append(gr.State(None))
+                cn_rows.append(row)
+
+        with gr.Row():
+            components[key('add_anima_controlnet_lllite_button')] = gr.Button("✚ Add Lllite")
+            components[key('delete_anima_controlnet_lllite_button')] = gr.Button("➖ Delete Lllite", visible=False)
+        components[key('anima_controlnet_lllite_count_state')] = gr.State(1)
+        
+        all_cn_components_flat = []
+        for i in range(max_units):
+            all_cn_components_flat.extend([
+                images[i], types[i], series[i], strengths[i], filepaths[i], start_percents[i], end_percents[i]
+            ])
+        components[key('all_anima_controlnet_lllite_components_flat')] = all_cn_components_flat
+
+    return components
+
 def create_diffsynth_controlnet_ui(prefix: str, max_units=MAX_CONTROLNETS):
     components = {}
     key = lambda name: f"{name}_{prefix}"
@@ -237,7 +287,7 @@ def create_ipadapter_ui(prefix: str, max_units=MAX_IPADAPTERS):
 
     with gr.Accordion("IPAdapter Settings", open=False, visible=('ipadapter' in default_enabled_chains)) as accordion:
         components[key('ipadapter_accordion')] = accordion
-        gr.Markdown("Powered by [cubiq/ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus).")
+        gr.Markdown("💡 **Tip:** Processed using the [cubiq/ComfyUI_IPAdapter_plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) node.")
         
         with gr.Row():
             components[key('ipadapter_final_preset')] = gr.Dropdown(
@@ -306,6 +356,7 @@ def create_flux1_ipadapter_ui(prefix: str, max_units=MAX_IPADAPTERS):
 
     with gr.Accordion("IPAdapter Settings (FLUX.1)", open=False, visible=('flux1_ipadapter' in default_enabled_chains)) as accordion:
         components[key('flux1_ipadapter_accordion')] = accordion
+        gr.Markdown("💡 **Tip:** Processed using the [Shakker-Labs/ComfyUI-IPAdapter-Flux](https://github.com/Shakker-Labs/ComfyUI-IPAdapter-Flux) node.")
         
         ipa_rows, images, weights, start_percents, end_percents = [], [], [], [], []
         components.update({
@@ -343,6 +394,7 @@ def create_sd3_ipadapter_ui(prefix: str, max_units=MAX_IPADAPTERS):
 
     with gr.Accordion("IPAdapter Settings (SD3)", open=False, visible=('sd3_ipadapter' in default_enabled_chains)) as accordion:
         components[key('sd3_ipadapter_accordion')] = accordion
+        gr.Markdown("💡 **Tip:** Processed using the [Slickytail/ComfyUI-InstantX-IPAdapter-SD3](https://github.com/Slickytail/ComfyUI-InstantX-IPAdapter-SD3) node.")
         
         ipa_rows, images, weights, start_percents, end_percents = [], [], [], [], []
         components.update({
@@ -484,6 +536,13 @@ def create_conditioning_ui(prefix: str):
     
     return components
     
+def on_vae_upload(file_obj):
+    if not file_obj:
+        return gr.update(), gr.update(), None
+    
+    hashed_filename = save_uploaded_file_with_hash(file_obj, VAE_DIR)
+    return hashed_filename, "File", file_obj
+
 def create_vae_override_ui(prefix: str):
     components = {}
     key = lambda name: f"{name}_{prefix}"
@@ -515,6 +574,12 @@ def create_vae_override_ui(prefix: str):
             components[key('vae_upload_button')] = upload_btn
             components[key('vae_file')] = gr.State(None)
             
+            upload_btn.upload(
+                fn=on_vae_upload,
+                inputs=[upload_btn],
+                outputs=[components[key('vae_id')], components[key('vae_source')], components[key('vae_file')]]
+            )
+
     return components
 
 def create_reference_latent_ui(prefix: str, max_units=10):

utils/app_utils.py

@@ -15,7 +15,6 @@ import yaml
 
 from core.settings import *
 
-DISK_LIMIT_GB = 120
 MODELS_ROOT_DIR = "ComfyUI/models"
 
 IPADAPTER_PRESETS = None
@@ -89,54 +88,6 @@ def get_directory_size(path: str) -> int:
         print(f"Warning: Could not access {path} to calculate size: {e}")
     return total_size
 
-def enforce_disk_limit():
-    disk_limit_bytes = DISK_LIMIT_GB * (1024 ** 3)
-    cache_dir = hf_constants.HF_HUB_CACHE
-
-    if not os.path.exists(cache_dir):
-        return
-
-    print(f"--- [Storage Manager] Checking disk usage in '{cache_dir}' (Limit: {DISK_LIMIT_GB} GB) ---")
-
-    try:
-        all_files = []
-        current_size_bytes = 0
-        for dirpath, _, filenames in os.walk(cache_dir):
-            for f in filenames:
-                if f.endswith(".incomplete") or f.endswith(".lock"):
-                    continue
-                file_path = os.path.join(dirpath, f)
-                if os.path.isfile(file_path) and not os.path.islink(file_path):
-                    try:
-                        file_size = os.path.getsize(file_path)
-                        creation_time = os.path.getctime(file_path)
-                        all_files.append((creation_time, file_path, file_size))
-                        current_size_bytes += file_size
-                    except OSError:
-                        continue
-
-        print(f"--- [Storage Manager] Current usage: {bytes_to_gb(current_size_bytes)} GB ---")
-
-        if current_size_bytes > disk_limit_bytes:
-            print(f"--- [Storage Manager] Usage exceeds limit. Starting cleanup... ---")
-            all_files.sort(key=lambda x: x[0])
-
-            while current_size_bytes > disk_limit_bytes and all_files:
-                oldest_file_time, oldest_file_path, oldest_file_size = all_files.pop(0)
-                try:
-                    os.remove(oldest_file_path)
-                    current_size_bytes -= oldest_file_size
-                    print(f"--- [Storage Manager] Deleted oldest file: {os.path.basename(oldest_file_path)} ({bytes_to_gb(oldest_file_size)} GB freed) ---")
-                except OSError as e:
-                    print(f"--- [Storage Manager] Error deleting file {oldest_file_path}: {e} ---")
-
-            print(f"--- [Storage Manager] Cleanup finished. New usage: {bytes_to_gb(current_size_bytes)} GB ---")
-        else:
-            print("--- [Storage Manager] Disk usage is within the limit. No action needed. ---")
-
-    except Exception as e:
-        print(f"--- [Storage Manager] An unexpected error occurred: {e} ---")
-
 def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
     try:
         return obj[index]
@@ -188,8 +139,6 @@ def get_civitai_file_info(version_id: str) -> dict | None:
         return None
 
 def download_file(url: str, save_path: str, api_key: str = None, progress=None, desc: str = "") -> str:
-    enforce_disk_limit()
-    
     if os.path.exists(save_path):
         return f"File already exists: {os.path.basename(save_path)}"
     
@@ -526,24 +475,6 @@ def ensure_sd3_ipadapter_models_downloaded(progress):
         print(f"Warning: Failed to load or download sd3 ipadapter models: {e}")
 
 
-def print_welcome_message():
-    author_name = "RioShiina"
-    project_url = "https://huggingface.co/RioShiina"
-    border = "=" * 72
-    
-    message = (
-        f"\n{border}\n\n"
-        f"  Thank you for using this project!\n\n"
-        f"  **Author:** {author_name}\n"
-        f"  **Find more from the author:** {project_url}\n\n"
-        f"  This project is open-source under the GNU General Public License v3.0 (GPL-3.0).\n"
-        f"  As it's built upon GPL-3.0 components (like ComfyUI), any modifications you\n"
-        f"  distribute must also be open-sourced under the same license.\n\n"
-        f"  Your respect for the principles of free software is greatly appreciated!\n\n"
-        f"{border}\n"
-    )
-    
-    print(message)
 
 def get_model_generation_defaults(model_display_name: str, model_type: str, defaults_config: dict):
     final_defaults = {

yaml/anima_controlnet_lllite_models.yaml

@@ -0,0 +1,13 @@
+Anima_ControlNet_Lllite:
+  - Filepath: "anima-lllite-lineart-1.safetensors"
+    Series: "kohya-ss"
+    Type: ["Lineart"]
+  - Filepath: "anima-lllite-depth-1.safetensors"
+    Series: "kohya-ss"
+    Type: ["Depth"]
+  - Filepath: "anima-lllite-pose-1.safetensors"
+    Series: "kohya-ss"
+    Type: ["Pose"]
+  - Filepath: "anima-lllite-scribble-1.safetensors"
+    Series: "kohya-ss"
+    Type: ["Scribble"]

yaml/file_list.yaml

@@ -48,17 +48,14 @@ file:
       source: hf
       repo_id: "bluepen5805/illustrious_pencil-XL"
       repository_file_path: "illustrious_pencil-XL-v5.0.0.safetensors"
-    - filename: "hassakuXLIllustrious_v34.safetensors"
+    - filename: "hassakuXLIllustrious_v30.safetensors"
       source: hf
-      repo_id: "oldhag88/hassakuXLIllustrious_v34.safetensors"
-      repository_file_path: "hassakuXLIllustrious_v34.safetensors"
+      repo_id: "misri/hassakuXLIllustrious_v30"
+      repository_file_path: "hassakuXLIllustrious_v30.safetensors"
     - filename: "novaAnimeXL_ilV160.safetensors"
       source: hf
       repo_id: "Yevrey921/novaAnimeXL_ilV160"
       repository_file_path: "novaAnimeXL_ilV160.safetensors"
-    - filename: "Illustrious-XL-v2.0.safetensors"
-      source: hf
-      repo_id: "OnomaAIResearch/Illustrious-XL-v2.0"
     - filename: "Illustrious-XL-v2.0.safetensors"
       source: hf
       repo_id: "OnomaAIResearch/Illustrious-XL-v2.0"
@@ -140,6 +137,23 @@ file:
       repo_id: "Comfy-Org/sigclip_vision_384"
       repository_file_path: "sigclip_vision_patch14_384.safetensors"
   controlnet: 
+    # Anima
+    - filename: "anima-lllite-lineart-1.safetensors"
+      source: "hf"
+      repo_id: "kohya-ss/Anima-LLLite"
+      repository_file_path: "anima-lllite-lineart-1.safetensors"
+    - filename: "anima-lllite-depth-1.safetensors"
+      source: "hf"
+      repo_id: "kohya-ss/Anima-LLLite"
+      repository_file_path: "anima-lllite-depth-1.safetensors"
+    - filename: "anima-lllite-pose-1.safetensors"
+      source: "hf"
+      repo_id: "kohya-ss/Anima-LLLite"
+      repository_file_path: "anima-lllite-pose-1.safetensors"
+    - filename: "anima-lllite-scribble-1.safetensors"
+      source: "hf"
+      repo_id: "kohya-ss/Anima-LLLite"
+      repository_file_path: "anima-lllite-scribble-1.safetensors"
     # SD3.5
     - filename: "sd3.5_large_controlnet_blur.safetensors"
       source: "hf"
@@ -208,6 +222,116 @@ file:
       source: "hf"
       repo_id: "xinsir/anime-painter"
       repository_file_path: "diffusion_pytorch_model.safetensors"
+    # SDXL - NoobAI
+    - filename: "noob_sdxl_controlnet_canny.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-canny"
+      repository_file_path: "noob_sdxl_controlnet_canny.fp16.safetensors"
+    - filename: "noob_sdxl_controlnet_depth.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-depth"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "noob-sdxl-controlnet-lineart_anime.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-lineart_anime"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "noob-sdxl-controlnet-lineart_realistic.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-lineart_realistic"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "noob-sdxl-controlnet-manga_line.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-manga_line"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "noob-sdxl-controlnet-normal.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-normal"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "noob-sdxl-controlnet-softedge_hed.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-softedge_hed"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "noob-sdxl-controlnet-tile.fp16.safetensors"
+      source: "hf"
+      repo_id: "Eugeoter/noob-sdxl-controlnet-tile"
+      repository_file_path: "diffusion_pytorch_model.fp16.safetensors"
+    - filename: "NoobAI_Inpainting_ControlNet.safetensors"
+      source: "hf"
+      repo_id: "Wenaka/NoobAI_XL_Inpainting_ControlNet_Full"
+      repository_file_path: "NoobAI_Inpainting_ControlNet.safetensors"
+    - filename: "noob_openpose_pre.safetensors"
+      source: "hf"
+      repo_id: "Laxhar/noob_openpose"
+      repository_file_path: "openpose_pre.safetensors"
+    - filename: "noobaiXLControlnet_epsBlur.safetensors"
+      source: "civitai"
+      model_version_id: "1731092"
+    - filename: "noobaiXLControlnet_epsDepthMidasV11.safetensors"
+      source: "hf"
+      repo_id: "licyk/sd_control_collection"
+      repository_file_path: "noobaiXLControlnet_epsDepthMidasV11.safetensors"
+    - filename: "noobaiXLControlnet_epsNormalMidas.safetensors"
+      source: "hf"
+      repo_id: "licyk/sd_control_collection"
+      repository_file_path: "noobaiXLControlnet_epsNormalMidas.safetensors"
+    - filename: "noobaiXLControlnet_epsScribbleHed.safetensors"
+      source: "hf"
+      repo_id: "licyk/sd_control_collection"
+      repository_file_path: "noobaiXLControlnet_epsScribbleHed.safetensors"
+    - filename: "noobaiXLControlnet_epsScribblePidinet.safetensors"
+      source: "hf"
+      repo_id: "licyk/sd_control_collection"
+      repository_file_path: "noobaiXLControlnet_epsScribblePidinet.safetensors"
+    - filename: "noobaiXLControlnet_epsDepthMidas.safetensors"
+      source: "hf"
+      repo_id: "licyk/sd_control_collection"
+      repository_file_path: "noobaiXLControlnet_epsDepthMidas.safetensors"
+    - filename: "noobaiXLControlnet_openposeModel.safetensors"
+      source: "hf"
+      repo_id: "licyk/sd_control_collection"
+      repository_file_path: "noobaiXLControlnet_openposeModel.safetensors"
+      # SDXL - Illustrious-XL-v0.1
+    - filename: "illustriousXLv0.1_Canny_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv0.1_controlnet"
+      repository_file_path: "illustriousXLv0.1_Canny_fp16.safetensors"
+    - filename: "illustriousXLv0.1_Lineart_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv0.1_controlnet"
+      repository_file_path: "illustriousXLv0.1_Lineart_fp16.safetensors"
+    - filename: "illustriousXLv0.1_Softedge_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv0.1_controlnet"
+      repository_file_path: "illustriousXLv0.1_Softedge_fp16.safetensors"
+    - filename: "illustriousXLv0.1_Tile_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv0.1_controlnet"
+      repository_file_path: "illustriousXLv0.1_Tile_fp16.safetensors"
+    - filename: "illustriousXLv0.1_depth_midas_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv0.1_controlnet"
+      repository_file_path: "illustriousXLv0.1_depth_midas_fp16.safetensors"
+    - filename: "illustriousXLv0.1_inpainting_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv0.1_controlnet"
+      repository_file_path: "illustriousXLv0.1_inpainting_fp16.safetensors"
+      # SDXL - Illustrious-XL-v1.1
+    - filename: "illustriousXLv1.1_canny_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv1.1_controlnet"
+      repository_file_path: "illustriousXLv1.1_canny_fp16.safetensors"
+    - filename: "illustriousXLv1.1_depth_midas_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv1.1_controlnet"
+      repository_file_path: "illustriousXLv1.1_depth_midas_fp16.safetensors"
+    - filename: "illustriousXLv1.1_inpainting_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv1.1_controlnet"
+      repository_file_path: "illustriousXLv1.1_inpainting_fp16.safetensors"
+    - filename: "illustriousXLv1.1_tile_fp16.safetensors"
+      source: "hf"
+      repo_id: "MIC-Lab/illustriousXLv1.1_controlnet"
+      repository_file_path: "illustriousXLv1.1_tile_fp16.safetensors"
     # SD1.5
     - filename: "control_v11e_sd15_ip2p_fp16.safetensors"
       source: "hf"
@@ -281,10 +405,14 @@ file:
       repo_id: "black-forest-labs/FLUX.2-klein-base-9b-fp8"
       repository_file_path: "flux-2-klein-base-9b-fp8.safetensors"
     # Anima
-    - filename: "anima-preview3-base.safetensors"
+    - filename: "waiANIMA_v10.safetensors"
+      source: "hf"
+      repo_id: "diffusionmodels1254ani/waiANIMA"
+      repository_file_path: "waiANIMA_v10.safetensors"
+    - filename: "anima-base-v1.0.safetensors"
       source: "hf"
       repo_id: "circlestone-labs/Anima"
-      repository_file_path: "split_files/diffusion_models/anima-preview3-base.safetensors"
+      repository_file_path: "split_files/diffusion_models/anima-base-v1.0.safetensors"
     - filename: "AnimaYume_tuned_v04.safetensors"
       source: "hf"
       repo_id: "duongve/AnimaYume"

yaml/image_gen_features.yaml

@@ -44,6 +44,7 @@ longcat-image:
 anima:
   enabled_chains:
     - lora
+    - anima_controlnet_lllite
     - conditioning
 
 newbie-image:

yaml/injectors.yaml

@@ -7,6 +7,8 @@ injector_definitions:
     module: "chain_injectors.newbie_lora_injector"
   dynamic_controlnet_chains: 
     module: "chain_injectors.controlnet_injector"
+  dynamic_anima_controlnet_lllite_chains:
+    module: "chain_injectors.anima_controlnet_lllite_injector"
   dynamic_diffsynth_controlnet_chains:
     module: "chain_injectors.diffsynth_controlnet_injector"
   dynamic_ipadapter_chains:
@@ -33,4 +35,5 @@ injector_order:
   - dynamic_style_chains
   - dynamic_conditioning_chains
   - dynamic_reference_latent_chains
-  - dynamic_controlnet_chains
+  - dynamic_controlnet_chains
+  - dynamic_anima_controlnet_lllite_chains

yaml/model_list.yaml

@@ -1,14 +1,307 @@
 Checkpoint:
+  FLUX.2-KV:
+    latent_type: flux2_latent
+    models:
+      - display_name: "black-forest-labs/FLUX.2-klein-9B-KV"
+        components:
+          unet: "flux-2-klein-9b-kv-fp8.safetensors"
+          clip: "qwen_3_8b_fp8mixed.safetensors"
+          vae: "flux2-vae.safetensors"
+  FLUX.2:
+    latent_type: flux2_latent
+    models:
+      - display_name: "black-forest-labs/FLUX.2-klein-4B"
+        components:
+          unet: "flux-2-klein-4b-fp8.safetensors"
+          clip: "qwen_3_4b.safetensors"
+          vae: "flux2-vae.safetensors"
+      - display_name: "black-forest-labs/FLUX.2-klein-9B"
+        components:
+          unet: "flux-2-klein-9b-fp8.safetensors"
+          clip: "qwen_3_8b_fp8mixed.safetensors"
+          vae: "flux2-vae.safetensors"
+      - display_name: "black-forest-labs/FLUX.2-klein-base-4B"
+        components:
+          unet: "flux-2-klein-base-4b-fp8.safetensors"
+          clip: "qwen_3_4b.safetensors"
+          vae: "flux2-vae.safetensors"
+      - display_name: "black-forest-labs/FLUX.2-klein-base-9B"
+        components:
+          unet: "flux-2-klein-base-9b-fp8.safetensors"
+          clip: "qwen_3_8b_fp8mixed.safetensors"
+          vae: "flux2-vae.safetensors"
+      - display_name: "black-forest-labs/FLUX.2-dev (Need to set ZeroGPU Duration to 120)"
+        components:
+          unet: "flux2_dev_fp8mixed.safetensors"
+          clip: "mistral_3_small_flux2_fp8.safetensors"
+          vae: "flux2-vae.safetensors"
+  ERNIE-Image:
+    latent_type: flux2_latent
+    models:
+      - display_name: "baidu/ERNIE-Image"
+        components:
+          unet: "ernie-image.safetensors"
+          vae: "flux2-vae.safetensors"
+          clip: "ministral-3-3b.safetensors"
+      - display_name: "baidu/ERNIE-Image-Turbo"
+        components:
+          unet: "ernie-image-turbo.safetensors"
+          vae: "flux2-vae.safetensors"
+          clip: "ministral-3-3b.safetensors"
+  Z-Image:
+    latent_type: sd3_latent
+    models:
+      - display_name: "Tongyi-MAI/Z Image Turbo"
+        components:
+          unet: "z_image_turbo_bf16.safetensors"
+          vae: "ae.safetensors"
+          clip: "qwen_3_4b_fp8_mixed.safetensors"
+      - display_name: "Tongyi-MAI/Z Image"
+        components:
+          unet: "z_image_bf16.safetensors"
+          vae: "ae.safetensors"
+          clip: "qwen_3_4b_fp8_mixed.safetensors"
+  Qwen-Image:
+    latent_type: sd3_latent
+    models:
+      - display_name: "Qwen/Qwen-Image-2512 + Lightning-4steps-V1.0 LoRA"
+        components:
+          unet: "qwen_image_2512_fp8_e4m3fn.safetensors"
+          vae: "qwen_image_vae.safetensors"
+          clip: "qwen_2.5_vl_7b_fp8_scaled.safetensors"
+          lora: "Qwen-Image-2512-Lightning-4steps-V1.0-bf16.safetensors"
+      - display_name: "Qwen/Qwen-Image + Lightning-4steps-V1.0 LoRA"
+        components:
+          unet: "qwen_image_fp8_e4m3fn.safetensors"
+          vae: "qwen_image_vae.safetensors"
+          clip: "qwen_2.5_vl_7b_fp8_scaled.safetensors"
+          lora: "Qwen-Image-fp8-e4m3fn-Lightning-4steps-V1.0-bf16.safetensors"
+  LongCat-Image:
+    latent_type: sd3_latent
+    models:
+      - display_name: "meituan-longcat/LongCat-Image"
+        components:
+          unet: "longcat_image_bf16.safetensors"
+          vae: "ae.safetensors"
+          clip: "qwen_2.5_vl_7b_fp8_scaled.safetensors"
   Anima:
     latent_type: latent
     models:
+      - display_name: "WAI0731/waiANIMA-v1.0"
+        components:
+          unet: "waiANIMA_v10.safetensors"
+          vae: "qwen_image_vae.safetensors"
+          clip: "qwen_3_06b_base.safetensors"
       - display_name: "duongve/AnimaYume-v0.4"
         components:
           unet: "AnimaYume_tuned_v04.safetensors"
           vae: "qwen_image_vae.safetensors"
           clip: "qwen_3_06b_base.safetensors"
-      - display_name: "circlestone-labs/Anima-preview3-base"
+      - display_name: "circlestone-labs/Anima-base-v1.0"
         components:
-          unet: "anima-preview3-base.safetensors"
+          unet: "anima-base-v1.0.safetensors"
           vae: "qwen_image_vae.safetensors"
-          clip: "qwen_3_06b_base.safetensors"
+          clip: "qwen_3_06b_base.safetensors"
+  NewBie-Image:
+    latent_type: sd3_latent
+    models:
+      - display_name: "NewBie-AI/NewBie-image-Exp0.1"
+        components:
+          unet: "NewBie-Image-Exp0.1-bf16.safetensors"
+          vae: "ae.safetensors"
+          clip1: "gemma_3_4b_it_bf16.safetensors"
+          clip2: "jina_clip_v2_bf16.safetensors"
+  Ovis-Image:
+    latent_type: sd3_latent
+    models:
+      - display_name: "AIDC-AI/Ovis-Image"
+        components:
+          unet: "ovis_image_bf16.safetensors"
+          vae: "ae.safetensors"
+          clip: "ovis_2.5.safetensors"
+  HunyuanImage:
+    latent_type: hunyuan_latent
+    models:
+      - display_name: "HunyuanImage-2.1"
+        components:
+          unet: "hunyuanimage2.1_fp8_e4m3fn.safetensors"
+          vae: "hunyuan_image_2.1_vae_fp16.safetensors"
+          clip1: "qwen_2.5_vl_7b_fp8_scaled.safetensors"
+          clip2: "byt5_small_glyphxl_fp16.safetensors"
+      - display_name: "HunyuanImage-2.1-Distilled"
+        components:
+          unet: "hunyuanimage2.1_distilled_fp8_e4m3fn.safetensors"
+          vae: "hunyuan_image_2.1_vae_fp16.safetensors"
+          clip1: "qwen_2.5_vl_7b_fp8_scaled.safetensors"
+          clip2: "byt5_small_glyphxl_fp16.safetensors"
+  Chroma1-Radiance:
+    latent_type: chroma_radiance_latent
+    models:
+      - display_name: "lodestones/Chroma1-Radiance-x0"
+        components:
+          unet: "Chroma1-Radiance-x0-fp8mixed_fullmm-20260104.safetensors"
+          vae: "pixel_space"
+          clip: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+  Chroma1:
+    latent_type: sd3_latent
+    models:
+      - display_name: "lodestones/Chroma1-HD"
+        components:
+          unet: "Chroma1-HD_float8_e4m3fn_scaled_learned_topk8_svd.safetensors"
+          vae: "ae.safetensors"
+          clip: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+      - display_name: "lodestones/Chroma1-HD-Flash"
+        components:
+          unet: "Chroma1-HD-Flash_float8_e4m3fn_scaled_learned_topk8_svd.safetensors"
+          vae: "ae.safetensors"
+          clip: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+  OmniGen2:
+    latent_type: sd3_latent
+    models:
+      - display_name: "OmniGen2"
+        components:
+          unet: "omnigen2_fp16.safetensors"
+          vae: "ae.safetensors"
+          clip: "qwen_2.5_vl_fp16.safetensors"
+  Lumina:
+    latent_type: sd3_latent
+    models:
+      - display_name: "Alpha-VLLM/Lumina-Image-2.0"
+        path: "lumina_2.safetensors"
+  HiDream:
+    latent_type: sd3_latent
+    models:
+      - display_name: "HiDream_i1_Dev"
+        components:
+          unet: "hidream_i1_dev_fp8.safetensors"
+          vae: "ae.safetensors"
+          clip1: "clip_l_hidream.safetensors"
+          clip2: "clip_g_hidream.safetensors"
+          clip3: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+          clip4: "llama_3.1_8b_instruct_fp8_scaled.safetensors"
+      - display_name: "HiDream_i1_Full"
+        components:
+          unet: "hidream_i1_full_fp8.safetensors"
+          vae: "ae.safetensors"
+          clip1: "clip_l_hidream.safetensors"
+          clip2: "clip_g_hidream.safetensors"
+          clip3: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+          clip4: "llama_3.1_8b_instruct_fp8_scaled.safetensors"
+      - display_name: "HiDream_i1_Fast"
+        components:
+          unet: "hidream_i1_fast_fp8.safetensors"
+          vae: "ae.safetensors"
+          clip1: "clip_l_hidream.safetensors"
+          clip2: "clip_g_hidream.safetensors"
+          clip3: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+          clip4: "llama_3.1_8b_instruct_fp8_scaled.safetensors"
+  FLUX.1:
+    latent_type: sd3_latent
+    models:
+      - display_name: "flux1-dev"
+        components:
+          unet: "flux1-dev-fp8-e4m3fn.safetensors"
+          vae: "ae.safetensors"
+          clip1: "clip_l.safetensors"
+          clip2: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+      - display_name: "flux1-schnell"
+        components:
+          unet: "flux1-schnell-fp8-e4m3fn.safetensors"
+          vae: "ae.safetensors"
+          clip1: "clip_l.safetensors"
+          clip2: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+      - display_name: "flux1-krea-dev"
+        components:
+          unet: "flux1-krea-dev_fp8_scaled.safetensors"
+          vae: "ae.safetensors"
+          clip1: "clip_l.safetensors"
+          clip2: "t5xxl_fp8_e4m3fn_scaled.safetensors"
+  SD3.5:
+    latent_type: sd3_latent
+    models:
+      - display_name: "StabilityAI/SD3.5-Large"
+        path: "sd3.5_large_fp8_scaled.safetensors"
+      - display_name: "StabilityAI/SD3.5-Medium"
+        path: "sd3.5_medium_incl_clips_t5xxlfp8scaled.safetensors"
+  SDXL:
+    latent_type: latent
+    models:
+      # NoobAI
+      - display_name: "Laxhar/noobai-XL-Vpred-1.0"
+        path: "NoobAI-XL-Vpred-v1.0.safetensors"
+        category: "NoobAI"
+      - display_name: "Laxhar/noobai-XL-1.1"
+        path: "NoobAI-XL-v1.1.safetensors"
+        category: "NoobAI"
+      - display_name: "bluepen5805/noob_v_pencil-XL-3.0.0"
+        path: "noob_v_pencil-XL-v3.0.0.safetensors"
+        category: "NoobAI"
+      - display_name: "RedRayz/hikari_noob_v-pred_1.2.4"
+        path: "Hikari_Noob_v-pred_1.2.4.safetensors"
+        category: "NoobAI"
+      - display_name: "ChenkinNoob/ChenkinNoob-XL-V0.5"
+        path: "ChenkinNoob-XL-V0.5.safetensors"
+        category: "NoobAI"
+      # Illustrious
+      - display_name: "WAI0731/wai-illustrious-sdxl-v170"
+        path: "waiIllustriousSDXL_v170.safetensors"
+        category: "Illustrious"
+      - display_name: "blue_pen5805/mellow_pencil-XL-v1.0.0"
+        path: "mellow_pencil-XL-v1.0.0.safetensors"
+        category: "Illustrious"
+      - display_name: "blue_pen5805/illustrious_pencil-XL-v5.0.0"
+        path: "illustrious_pencil-XL-v5.0.0.safetensors"
+        category: "Illustrious"
+      - display_name: "Ikena/hassaku-xl-illustrious-v3.0"
+        path: "hassakuXLIllustrious_v30.safetensors"
+        category: "Illustrious"
+      - display_name: "Crody/Nova-Anime-XL-v16.0"
+        path: "novaAnimeXL_ilV160.safetensors"
+        category: "Illustrious"
+      - display_name: "OnomaAIResearch/Illustrious-XL-v2.0"
+        path: "Illustrious-XL-v2.0.safetensors"
+        category: "Illustrious"
+      - display_name: "OnomaAIResearch/Illustrious-XL-v1.1"
+        path: "Illustrious-XL-v1.1.safetensors"
+        category: "Illustrious"
+      - display_name: "OnomaAIResearch/Illustrious-XL-v1.0"
+        path: "Illustrious-XL-v1.0.safetensors"
+        category: "Illustrious"
+      - display_name: "aria1th261/Illustrious-XL-v0.1"
+        path: "illustriousXL_v01.safetensors"
+        category: "Illustrious"
+    # SDXL-Animate
+      - display_name: "CagliostroLab/Animagine XL 4.0"
+        path: "animagine-xl-4.0.safetensors"
+        category: "Animate"
+      - display_name: "CagliostroLab/Animagine XL 3.1"
+        path: "animagine-xl-3.1.safetensors"
+        category: "Animate"
+      - display_name: "blue_pen5805/4nima_pencil-XL v1.0.1"
+        path: "4nima_pencil-XL-v1.0.1.safetensors"
+        category: "Animate"
+      - display_name: "blue_pen5805/anima_pencil-XL v5.0.0"
+        path: "anima_pencil-XL-v5.0.0.safetensors"
+        category: "Animate"
+      - display_name: "blue_pen5805/blue_pencil-XL v7.0.0"
+        path: "blue_pencil-XL-v7.0.0.safetensors"
+        category: "Animate"
+    # SDXL-Pony
+      - display_name: "PurpleSmartAI/Pony Diffusion V6 XL"
+        path: "ponyDiffusionV6XL_v6StartWithThisOne.safetensors"
+        category: "Pony"
+      - display_name: "blue_pen5805/pony_pencil-XL v2.0.0"
+        path: "pony_pencil-XL-v2.0.0.safetensors"
+        category: "Pony"
+      - display_name: "Cyberdelia/CyberRealistic Pony v14.0"
+        path: "CyberRealisticPony_V14.0.safetensors"
+        category: "Pony"
+    # SDXL-Base
+      - display_name: "stabilityai/stable-diffusion-xl-base-1.0"
+        path: "sd_xl_base_1.0.safetensors"
+        category: "Base"
+  SD1.5:
+    latent_type: latent
+    models:
+      - display_name: "stable-diffusion-v1-5/stable-diffusion-v1-5"
+        path: "v1-5-pruned-emaonly.safetensors"