dagloop5 commited on
Commit
33b1ad2
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1 Parent(s): 616382d

Update app.py

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Files changed (1) hide show
  1. app.py +14 -2
app.py CHANGED
@@ -49,7 +49,7 @@ LORA_FILES = {
49
  "lorab": (LORA_REPO, os.environ.get("H3_LORA_B_FILE", "H3_VBVR_Pro_attn_only.safetensors")),
50
  "lorac": (LORA_REPO, os.environ.get("H3_LORA_C_FILE", "HM-AIO-V2.5.safetensors")),
51
  "lorad": (LORA_REPO, os.environ.get("H3_LORA_D_FILE", "Furry enhancer Video H3 V2.54.safetensors")),
52
- "lorae": (LORA_REPO, os.environ.get("H3_LORA_E_FILE", "sb_H3_i2v_v1.1.safetensors")),
53
  "loraf": (LORA_REPO, os.environ.get("H3_LORA_F_FILE", "moawxx_000002000.safetensors")),
54
  "lorag": (LORA_REPO, os.environ.get("H3_LORA_G_FILE", "Mystic_MMH3-V4.safetensors")),
55
  "lorah": (
@@ -63,6 +63,7 @@ LORA_FILES = {
63
  "loraj": (LORA_REPO, os.environ.get("H3_LORA_J_FILE", "H3_Motion_BoosterV2.safetensors")),
64
  "lorak": (LORA_REPO, os.environ.get("H3_LORA_k_FILE", "H3_Unlocked_V2.safetensors")),
65
  "loral": (LORA_REPO, os.environ.get("H3_LORA_l_FILE", "Ending_V1.safetensors")),
 
66
  }
67
  # Display names, keyed the same as LORA_FILES — used in the UI slider labels, the per-request report line, and
68
  # the status line's failure list. Keep these two dicts' keys in sync when adding a LoRA.
@@ -80,6 +81,7 @@ LORA_LABELS = {
80
  "loraj": "Motion Booster V2",
81
  "lorak": "H3 Unlocked LoRA",
82
  "loral": "Ending LoRA",
 
83
  }
84
  DEFAULT_LORA_1_STRENGTH = 0.0
85
  DEFAULT_LORA_A_STRENGTH = 0.0
@@ -94,6 +96,7 @@ DEFAULT_LORA_I_STRENGTH = 0.0
94
  DEFAULT_LORA_J_STRENGTH = 0.0
95
  DEFAULT_LORA_K_STRENGTH = 0.0
96
  DEFAULT_LORA_L_STRENGTH = 0.0
 
97
  # Per-LoRA, not global: different training pipelines can store SwiGLU's fc1 gate/value halves in either order,
98
  # and one flag can only be right for however many of the 8 files happen to agree. `lora1` (the Distilled/Turbo
99
  # LoRA) is confirmed needing the swap by InstantX's official conversion of the same lineage
@@ -867,6 +870,7 @@ def generate(
867
  lora_j_strength=DEFAULT_LORA_J_STRENGTH,
868
  lora_k_strength=DEFAULT_LORA_K_STRENGTH,
869
  lora_l_strength=DEFAULT_LORA_L_STRENGTH,
 
870
  maximize_gpu=False,
871
  video_shift=DEFAULT_VIDEO_SHIFT,
872
  audio_shift=DEFAULT_AUDIO_SHIFT,
@@ -1013,7 +1017,7 @@ def generate(
1013
 
1014
  # Every UI LoRA slider gets packed into one dict here — this is the only place a new LoRA's slider value
1015
  # needs wiring in; `_generate`, `set_adapters`, and the report line below are all keyed off this dict.
1016
- 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)}
1017
 
1018
  progress(0.1, desc=f"Denoising {this_stage_steps} steps at {width}x{height}, {num_frames} frames ...")
1019
  call = (
@@ -1531,6 +1535,13 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
1531
  step=0.05,
1532
  value=DEFAULT_LORA_L_STRENGTH,
1533
  )
 
 
 
 
 
 
 
1534
 
1535
  with gr.Accordion("Staged Denoising", open=False):
1536
  gr.Markdown(
@@ -1647,6 +1658,7 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
1647
  lora_j_strength,
1648
  lora_k_strength,
1649
  lora_l_strength,
 
1650
  maximize_gpu,
1651
  video_shift,
1652
  audio_shift,
 
49
  "lorab": (LORA_REPO, os.environ.get("H3_LORA_B_FILE", "H3_VBVR_Pro_attn_only.safetensors")),
50
  "lorac": (LORA_REPO, os.environ.get("H3_LORA_C_FILE", "HM-AIO-V2.5.safetensors")),
51
  "lorad": (LORA_REPO, os.environ.get("H3_LORA_D_FILE", "Furry enhancer Video H3 V2.54.safetensors")),
52
+ "lorae": (LORA_REPO, os.environ.get("H3_LORA_E_FILE", "sb_H3_v2.0.safetensors")),
53
  "loraf": (LORA_REPO, os.environ.get("H3_LORA_F_FILE", "moawxx_000002000.safetensors")),
54
  "lorag": (LORA_REPO, os.environ.get("H3_LORA_G_FILE", "Mystic_MMH3-V4.safetensors")),
55
  "lorah": (
 
63
  "loraj": (LORA_REPO, os.environ.get("H3_LORA_J_FILE", "H3_Motion_BoosterV2.safetensors")),
64
  "lorak": (LORA_REPO, os.environ.get("H3_LORA_k_FILE", "H3_Unlocked_V2.safetensors")),
65
  "loral": (LORA_REPO, os.environ.get("H3_LORA_l_FILE", "Ending_V1.safetensors")),
66
+ "loram": (LORA_REPO, os.environ.get("H3_LORA_M_FILE", "MMH3-FPOV-000160.safetensors")),
67
  }
68
  # Display names, keyed the same as LORA_FILES — used in the UI slider labels, the per-request report line, and
69
  # the status line's failure list. Keep these two dicts' keys in sync when adding a LoRA.
 
81
  "loraj": "Motion Booster V2",
82
  "lorak": "H3 Unlocked LoRA",
83
  "loral": "Ending LoRA",
84
+ "loram": "FPOV LoRA",
85
  }
86
  DEFAULT_LORA_1_STRENGTH = 0.0
87
  DEFAULT_LORA_A_STRENGTH = 0.0
 
96
  DEFAULT_LORA_J_STRENGTH = 0.0
97
  DEFAULT_LORA_K_STRENGTH = 0.0
98
  DEFAULT_LORA_L_STRENGTH = 0.0
99
+ DEFAULT_LORA_M_STRENGTH = 0.0
100
  # Per-LoRA, not global: different training pipelines can store SwiGLU's fc1 gate/value halves in either order,
101
  # and one flag can only be right for however many of the 8 files happen to agree. `lora1` (the Distilled/Turbo
102
  # LoRA) is confirmed needing the swap by InstantX's official conversion of the same lineage
 
870
  lora_j_strength=DEFAULT_LORA_J_STRENGTH,
871
  lora_k_strength=DEFAULT_LORA_K_STRENGTH,
872
  lora_l_strength=DEFAULT_LORA_L_STRENGTH,
873
+ lora_m_strength=DEFAULT_LORA_M_STRENGTH,
874
  maximize_gpu=False,
875
  video_shift=DEFAULT_VIDEO_SHIFT,
876
  audio_shift=DEFAULT_AUDIO_SHIFT,
 
1017
 
1018
  # Every UI LoRA slider gets packed into one dict here — this is the only place a new LoRA's slider value
1019
  # needs wiring in; `_generate`, `set_adapters`, and the report line below are all keyed off this dict.
1020
+ 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), "loram": float(lora_m_strength)}
1021
 
1022
  progress(0.1, desc=f"Denoising {this_stage_steps} steps at {width}x{height}, {num_frames} frames ...")
1023
  call = (
 
1535
  step=0.05,
1536
  value=DEFAULT_LORA_L_STRENGTH,
1537
  )
1538
+ lora_m_strength = gr.Slider(
1539
+ label="FPOV LoRA",
1540
+ minimum=0.0,
1541
+ maximum=2.0,
1542
+ step=0.05,
1543
+ value=DEFAULT_LORA_M_STRENGTH,
1544
+ )
1545
 
1546
  with gr.Accordion("Staged Denoising", open=False):
1547
  gr.Markdown(
 
1658
  lora_j_strength,
1659
  lora_k_strength,
1660
  lora_l_strength,
1661
+ lora_m_strength,
1662
  maximize_gpu,
1663
  video_shift,
1664
  audio_shift,