Update app.py

app.py

@@ -44,19 +44,20 @@ LORA_FILES = {
     "lora1": (LORA_REPO, os.environ.get("H3_LORA_1_FILE", "minimax_h3_turbo_v4_step600_ema.safetensors")),
     "loraa": (LORA_REPO, os.environ.get("H3_LORA_A_FILE", "Mylo_lora_epoch31.safetensors")),
     "lorab": (LORA_REPO, os.environ.get("H3_LORA_B_FILE", "VBVR_H3_attn_only.safetensors")),
-    "lorac": (LORA_REPO, os.environ.get("H3_LORA_C_FILE", "AIO_V2.safetensors")),
+    "lorac": (LORA_REPO, os.environ.get("H3_LORA_C_FILE", "HM-AIO-V2.5.safetensors")),
     "lorad": (LORA_REPO, os.environ.get("H3_LORA_D_FILE", "Furry enhancer Video H3 V2.54.safetensors")),
     "lorae": (LORA_REPO, os.environ.get("H3_LORA_E_FILE", "sb_H3_i2v_v1.1.safetensors")),
     "loraf": (LORA_REPO, os.environ.get("H3_LORA_F_FILE", "moawxx_000002000.safetensors")),
     "lorag": (LORA_REPO, os.environ.get("H3_LORA_G_FILE", "Mystic_MMH3-V4.safetensors")),
     "lorah": (
         os.environ.get("H3_LORA_H_REPO", "lightx2v/Minimax-h3-Turbo"),
-        os.environ.get("H3_LORA_H_FILE", "minimax_h3_fl2v_turbo_4step_v1.1_768p_bf16.safetensors"),
+        os.environ.get("H3_LORA_H_FILE", "minimax_h3_fl2v_turbo_8step_v1.0_768p_comfyui_bf16.safetensors"),
     ),
     "lorai": (
         os.environ.get("H3_LORA_I_REPO", "lightx2v/Minimax-h3-Turbo"),
         os.environ.get("H3_LORA_I_FILE", "minimax_h3_fl2v_turbo_8step_v1.0_bf16.safetensors"),
     ),
+    "loraj": (LORA_REPO, os.environ.get("H3_LORA_J_FILE", "H3_Motion_BoosterV2.safetensors")),
 }
 # Display names, keyed the same as LORA_FILES — used in the UI slider labels, the per-request report line, and
 # the status line's failure list. Keep these two dicts' keys in sync when adding a LoRA.
@@ -71,6 +72,7 @@ LORA_LABELS = {
     "lorag": "Mystic-V4",
     "lorah": "Lightx2v-Minimax-H3 Turbo 768p LoRA",
     "lorai": "Lightx2v-Minimax-H3 Turbo 8-step LoRA",
+    "loraj": "Motion Booster V2",
 }
 DEFAULT_LORA_1_STRENGTH = 0.0
 DEFAULT_LORA_A_STRENGTH = 0.0
@@ -82,6 +84,7 @@ DEFAULT_LORA_F_STRENGTH = 0.0
 DEFAULT_LORA_G_STRENGTH = 0.0
 DEFAULT_LORA_H_STRENGTH = 0.0
 DEFAULT_LORA_I_STRENGTH = 0.0
+DEFAULT_LORA_J_STRENGTH = 0.0
 # Per-LoRA, not global: different training pipelines can store SwiGLU's fc1 gate/value halves in either order,
 # and one flag can only be right for however many of the 8 files happen to agree. `lora1` (the Distilled/Turbo
 # LoRA) is confirmed needing the swap by InstantX's official conversion of the same lineage
@@ -766,6 +769,7 @@ def generate(
     lora_e_strength=DEFAULT_LORA_E_STRENGTH,
     lora_f_strength=DEFAULT_LORA_F_STRENGTH,
     lora_g_strength=DEFAULT_LORA_G_STRENGTH,
+    lora_j_strength=DEFAULT_LORA_J_STRENGTH,
     maximize_gpu=False,
     video_shift=DEFAULT_VIDEO_SHIFT,
     audio_shift=DEFAULT_AUDIO_SHIFT,
@@ -868,7 +872,7 @@ def generate(
 
     # Every UI LoRA slider gets packed into one dict here — this is the only place a new LoRA's slider value
     # needs wiring in; `_generate`, `set_adapters`, and the report line below are all keyed off this dict.
-    lora_strengths = {"lora1": float(lora_1_strength), "lorah": float(lora_h_strength), "lorai": float(lora_i_strength), "loraa": float(lora_a_strength), "lorab": float(lora_b_strength), "lorac": float(lora_c_strength), "lorad": float(lora_d_strength), "lorae": float(lora_e_strength), "loraf": float(lora_f_strength), "lorag": float(lora_g_strength)}
+    lora_strengths = {"lora1": float(lora_1_strength), "lorah": float(lora_h_strength), "lorai": float(lora_i_strength), "loraa": float(lora_a_strength), "lorab": float(lora_b_strength), "lorac": float(lora_c_strength), "lorad": float(lora_d_strength), "lorae": float(lora_e_strength), "loraf": float(lora_f_strength), "lorag": float(lora_g_strength), "loraj": float(lora_j_strength)}
 
     progress(0.1, desc=f"Denoising {this_stage_steps} steps at {width}x{height}, {num_frames} frames ...")
     call = (
@@ -1165,7 +1169,7 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
                     info="Video/Audio Shift = 6/3",
                 )
                 lora_h_strength = gr.Slider(
-                    label="Lightx2v-Minimax-H3 Turbo 768p LoRA",
+                    label="Lightx2v-Minimax-H3 Turbo 8-step 768p LoRA",
                     minimum=0.0,
                     maximum=2.0,
                     step=0.05,
@@ -1196,7 +1200,7 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
                     value=DEFAULT_LORA_B_STRENGTH,
                 )
                 lora_c_strength = gr.Slider(
-                    label="HM-AIO LoRA",
+                    label="HM-AIO V2.5 LoRA",
                     minimum=0.0,
                     maximum=2.0,
                     step=0.05,
@@ -1230,6 +1234,13 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
                     step=0.05,
                     value=DEFAULT_LORA_G_STRENGTH,
                 )
+                lora_j_strength = gr.Slider(
+                    label="H3 Motion Booster V2 LoRA",
+                    minimum=0.0,
+                    maximum=2.0,
+                    step=0.05,
+                    value=DEFAULT_LORA_J_STRENGTH,
+                )
 
             with gr.Accordion("Staged Denoising", open=False):
                 gr.Markdown(
@@ -1306,6 +1317,7 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
         lora_e_strength,
         lora_f_strength,
         lora_g_strength,
+        lora_j_strength,
         maximize_gpu,
         video_shift,
         audio_shift,