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Update app.py
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app.py
CHANGED
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@@ -61,6 +61,8 @@ LORA_FILES = {
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os.environ.get("H3_LORA_I_FILE", "minimax_h3_fl2v_turbo_8step_v1.0_bf16.safetensors"),
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),
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"loraj": (LORA_REPO, os.environ.get("H3_LORA_J_FILE", "H3_Motion_BoosterV2.safetensors")),
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}
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# Display names, keyed the same as LORA_FILES — used in the UI slider labels, the per-request report line, and
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# the status line's failure list. Keep these two dicts' keys in sync when adding a LoRA.
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@@ -76,6 +78,8 @@ LORA_LABELS = {
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"lorah": "Lightx2v-Minimax-H3 Turbo 768p LoRA",
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"lorai": "Lightx2v-Minimax-H3 Turbo 8-step LoRA",
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"loraj": "Motion Booster V2",
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}
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DEFAULT_LORA_1_STRENGTH = 0.0
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DEFAULT_LORA_A_STRENGTH = 0.0
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@@ -88,6 +92,8 @@ DEFAULT_LORA_G_STRENGTH = 0.0
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DEFAULT_LORA_H_STRENGTH = 0.0
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DEFAULT_LORA_I_STRENGTH = 0.0
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DEFAULT_LORA_J_STRENGTH = 0.0
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# Per-LoRA, not global: different training pipelines can store SwiGLU's fc1 gate/value halves in either order,
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# and one flag can only be right for however many of the 8 files happen to agree. `lora1` (the Distilled/Turbo
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# LoRA) is confirmed needing the swap by InstantX's official conversion of the same lineage
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@@ -773,6 +779,8 @@ def generate(
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lora_f_strength=DEFAULT_LORA_F_STRENGTH,
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lora_g_strength=DEFAULT_LORA_G_STRENGTH,
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lora_j_strength=DEFAULT_LORA_J_STRENGTH,
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maximize_gpu=False,
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video_shift=DEFAULT_VIDEO_SHIFT,
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audio_shift=DEFAULT_AUDIO_SHIFT,
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@@ -875,7 +883,7 @@ def generate(
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# Every UI LoRA slider gets packed into one dict here — this is the only place a new LoRA's slider value
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# needs wiring in; `_generate`, `set_adapters`, and the report line below are all keyed off this dict.
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-
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)}
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progress(0.1, desc=f"Denoising {this_stage_steps} steps at {width}x{height}, {num_frames} frames ...")
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call = (
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@@ -1244,6 +1252,20 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
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step=0.05,
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value=DEFAULT_LORA_J_STRENGTH,
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)
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with gr.Accordion("Staged Denoising", open=False):
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gr.Markdown(
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@@ -1321,6 +1343,8 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
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lora_f_strength,
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lora_g_strength,
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lora_j_strength,
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maximize_gpu,
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video_shift,
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audio_shift,
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os.environ.get("H3_LORA_I_FILE", "minimax_h3_fl2v_turbo_8step_v1.0_bf16.safetensors"),
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),
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"loraj": (LORA_REPO, os.environ.get("H3_LORA_J_FILE", "H3_Motion_BoosterV2.safetensors")),
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"lorak": (LORA_REPO, os.environ.get("H3_LORA_k_FILE", "H3_Unlocked_V2.safetensors")),
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"loral": (LORA_REPO, os.environ.get("H3_LORA_l_FILE", "Ending_V1.safetensors")),
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}
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# Display names, keyed the same as LORA_FILES — used in the UI slider labels, the per-request report line, and
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# the status line's failure list. Keep these two dicts' keys in sync when adding a LoRA.
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"lorah": "Lightx2v-Minimax-H3 Turbo 768p LoRA",
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"lorai": "Lightx2v-Minimax-H3 Turbo 8-step LoRA",
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"loraj": "Motion Booster V2",
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"lorak": "H3 Unlocked LoRA",
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"loral": "Ending LoRA",
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}
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DEFAULT_LORA_1_STRENGTH = 0.0
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DEFAULT_LORA_A_STRENGTH = 0.0
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DEFAULT_LORA_H_STRENGTH = 0.0
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DEFAULT_LORA_I_STRENGTH = 0.0
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DEFAULT_LORA_J_STRENGTH = 0.0
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DEFAULT_LORA_K_STRENGTH = 0.0
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DEFAULT_LORA_L_STRENGTH = 0.0
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# Per-LoRA, not global: different training pipelines can store SwiGLU's fc1 gate/value halves in either order,
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# and one flag can only be right for however many of the 8 files happen to agree. `lora1` (the Distilled/Turbo
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# LoRA) is confirmed needing the swap by InstantX's official conversion of the same lineage
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lora_f_strength=DEFAULT_LORA_F_STRENGTH,
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lora_g_strength=DEFAULT_LORA_G_STRENGTH,
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lora_j_strength=DEFAULT_LORA_J_STRENGTH,
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lora_k_strength=DEFAULT_LORA_K_STRENGTH,
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lora_l_strength=DEFAULT_LORA_L_STRENGTH,
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maximize_gpu=False,
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video_shift=DEFAULT_VIDEO_SHIFT,
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audio_shift=DEFAULT_AUDIO_SHIFT,
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# Every UI LoRA slider gets packed into one dict here — this is the only place a new LoRA's slider value
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# needs wiring in; `_generate`, `set_adapters`, and the report line below are all keyed off this dict.
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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), "lorak": float(lora_k_strength), "loral": float(lora_l_strength)}
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progress(0.1, desc=f"Denoising {this_stage_steps} steps at {width}x{height}, {num_frames} frames ...")
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call = (
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step=0.05,
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value=DEFAULT_LORA_J_STRENGTH,
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)
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lora_k_strength = gr.Slider(
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label="H3 Unlocked LoRA",
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minimum=0.0,
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maximum=2.0,
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step=0.05,
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value=DEFAULT_LORA_K_STRENGTH,
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)
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lora_l_strength = gr.Slider(
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label="Ending LoRA",
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minimum=0.0,
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maximum=2.0,
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step=0.05,
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value=DEFAULT_LORA_L_STRENGTH,
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)
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with gr.Accordion("Staged Denoising", open=False):
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gr.Markdown(
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lora_f_strength,
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lora_g_strength,
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lora_j_strength,
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lora_k_strength,
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lora_l_strength,
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maximize_gpu,
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video_shift,
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audio_shift,
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