cobramv12 commited on
Commit
655244e
·
verified ·
1 Parent(s): 23e8923

Fix: Force huggingface_hub==0.24.2 for HfFolder compatibility

Browse files
Files changed (1) hide show
  1. app.py +2 -16
app.py CHANGED
@@ -1,8 +1,7 @@
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  import sys
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  import os
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- # --- PARCHE QUIRÚRGICO DE NIVEL SISTEMA ---
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- # 1. Parche de audioop para Python 3.13
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  try:
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  import audioop
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  except ImportError:
@@ -11,16 +10,7 @@ except ImportError:
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  sys.modules["audioop"] = audioop
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  except ImportError:
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  pass
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-
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- # 2. Parche para el bug de Gradio (TypeError: argument of type 'bool' is not iterable)
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- import gradio_client.utils as client_utils
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- original_get_type = client_utils.get_type
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- def patched_get_type(schema):
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- if isinstance(schema, bool):
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- return "str" # Evita el colapso si schema es un booleano
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- return original_get_type(schema)
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- client_utils.get_type = patched_get_type
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- # ------------------------------------------
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  import spaces
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  import gradio as gr
@@ -35,9 +25,6 @@ LTX_MODEL = "Lightricks/LTX-Video"
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  LTX_NSFW_LORA = "Lora-Daddy/Ltx2.3-real-nudity-early-alpha-30k-steps"
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  NEG_DEFAULT = "blurry, low quality, bad anatomy, deformed, ugly, watermark, text"
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- pipe_t2i = None
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- pipe_video = None
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-
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  def load_t2i(lora_id=None, lora_scale=1.0):
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  from diffusers import StableDiffusionXLPipeline
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  pipe = StableDiffusionXLPipeline.from_pretrained(
@@ -81,7 +68,6 @@ def generate_video(prompt, init_image, lora_scale):
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  export_to_video(output.frames[0], tmp.name, fps=24)
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  return tmp.name
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- # UI
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  with gr.Blocks(title="Image Utility v2.1") as demo:
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  gr.HTML("<h1 style='text-align:center;'>🛠 Image Processing Utility v2.1.4</h1>")
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  with gr.Tabs():
 
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  import sys
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  import os
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+ # --- PARCHE DE AUDIO (INDISPENSABLE PARA PYTHON 3.13) ---
 
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  try:
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  import audioop
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  except ImportError:
 
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  sys.modules["audioop"] = audioop
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  except ImportError:
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  pass
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+ # --------------------------------------------------------
 
 
 
 
 
 
 
 
 
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  import spaces
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  import gradio as gr
 
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  LTX_NSFW_LORA = "Lora-Daddy/Ltx2.3-real-nudity-early-alpha-30k-steps"
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  NEG_DEFAULT = "blurry, low quality, bad anatomy, deformed, ugly, watermark, text"
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  def load_t2i(lora_id=None, lora_scale=1.0):
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  from diffusers import StableDiffusionXLPipeline
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  pipe = StableDiffusionXLPipeline.from_pretrained(
 
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  export_to_video(output.frames[0], tmp.name, fps=24)
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  return tmp.name
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  with gr.Blocks(title="Image Utility v2.1") as demo:
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  gr.HTML("<h1 style='text-align:center;'>🛠 Image Processing Utility v2.1.4</h1>")
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  with gr.Tabs():