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videogen
videogen
Commit 33ec35a2 authored by Stefy Lanza (nextime / spora )'s avatar Stefy Lanza (nextime / spora )
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Fix pipeline fallback error handling - nest error messages inside failure check

parent efa4dfd3
Pipeline #232 canceled with stages
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      Showing with 54 additions and 54 deletions
      videogen
      View file @ 33ec35a2
      ......@@ -3651,60 +3651,60 @@ def main(args):
      print(f"\n❌ All model retries exhausted ({retry_count}/{max_retries} attempts)")
      # Print detailed error message for the user
      if "404" in error_str or "Entry Not Found" in error_str:
      print(f"❌ Model not found on HuggingFace: {model_id_to_load}")
      print(f" This model may have been removed or the ID is incorrect.")
      if debug:
      print(f"\n [DEBUG] Troubleshooting:")
      print(f" - Check if the model exists: https://huggingface.co/{model_id_to_load}")
      print(f" - Verify the model ID spelling")
      print(f" - The model may have been renamed or moved")
      print(f"\n 💡 Try searching for an alternative:")
      print(f" videogen --search-models ltxvideo")
      print(f"\n 💡 Or use the official LTX Video model:")
      print(f" videogen --model ltx_video --prompt 'your prompt' ...")
      elif "401" in error_str or "Unauthorized" in error_str:
      print(f"❌ Model requires authentication: {model_id_to_load}")
      print(f" Set your HuggingFace token:")
      print(f" export HF_TOKEN=your_token_here")
      print(f" huggingface-cli login")
      if debug:
      print(f"\n [DEBUG] To get a token:")
      print(f" 1. Go to https://huggingface.co/settings/tokens")
      print(f" 2. Create a new token with 'read' permissions")
      print(f" 3. Export it: export HF_TOKEN=hf_xxx")
      elif "gated" in error_str.lower():
      print(f"❌ This is a gated model: {model_id_to_load}")
      print(f" You need to accept the license on HuggingFace:")
      print(f" https://huggingface.co/{model_id_to_load}")
      print(f" Then set HF_TOKEN and run again.")
      elif "connection" in error_str.lower() or "timeout" in error_str.lower():
      print(f"❌ Network error loading model: {model_id_to_load}")
      print(f" Check your internet connection and try again.")
      if debug:
      print(f"\n [DEBUG] Network troubleshooting:")
      print(f" - Check if you can access: https://huggingface.co/{model_id_to_load}")
      print(f" - Try with a VPN if HuggingFace is blocked")
      print(f" - Check if HF_ENDPOINT is set (for China mirror): {os.environ.get('HF_ENDPOINT', 'not set')}")
      elif "FrozenDict" in error_str or "scale_factor" in error_str or "has no attribute" in error_str:
      print(f"❌ Pipeline compatibility error: {model_id_to_load}")
      print(f" This model uses a pipeline architecture incompatible with your diffusers version.")
      print(f" The model may require a specific diffusers version or different pipeline class.")
      if debug:
      print(f"\n [DEBUG] Compatibility troubleshooting:")
      print(f" - Try updating diffusers: pip install --upgrade git+https://github.com/huggingface/diffusers.git")
      print(f" - Check the model's documentation for required versions")
      print(f" - The model may be incorrectly configured in models.json")
      print(f"\n 💡 Try a different model with --model <name>")
      else:
      print(f"Model loading failed: {e}")
      if debug:
      import traceback
      print(f"\n [DEBUG] Full traceback:")
      traceback.print_exc()
      print(f"\n 💡 Try searching for alternative models: videogen --search-models <query>")
      sys.exit(1)
      if "404" in error_str or "Entry Not Found" in error_str:
      print(f"❌ Model not found on HuggingFace: {model_id_to_load}")
      print(f" This model may have been removed or the ID is incorrect.")
      if debug:
      print(f"\n [DEBUG] Troubleshooting:")
      print(f" - Check if the model exists: https://huggingface.co/{model_id_to_load}")
      print(f" - Verify the model ID spelling")
      print(f" - The model may have been renamed or moved")
      print(f"\n 💡 Try searching for an alternative:")
      print(f" videogen --search-models ltxvideo")
      print(f"\n 💡 Or use the official LTX Video model:")
      print(f" videogen --model ltx_video --prompt 'your prompt' ...")
      elif "401" in error_str or "Unauthorized" in error_str:
      print(f"❌ Model requires authentication: {model_id_to_load}")
      print(f" Set your HuggingFace token:")
      print(f" export HF_TOKEN=your_token_here")
      print(f" huggingface-cli login")
      if debug:
      print(f"\n [DEBUG] To get a token:")
      print(f" 1. Go to https://huggingface.co/settings/tokens")
      print(f" 2. Create a new token with 'read' permissions")
      print(f" 3. Export it: export HF_TOKEN=hf_xxx")
      elif "gated" in error_str.lower():
      print(f"❌ This is a gated model: {model_id_to_load}")
      print(f" You need to accept the license on HuggingFace:")
      print(f" https://huggingface.co/{model_id_to_load}")
      print(f" Then set HF_TOKEN and run again.")
      elif "connection" in error_str.lower() or "timeout" in error_str.lower():
      print(f"❌ Network error loading model: {model_id_to_load}")
      print(f" Check your internet connection and try again.")
      if debug:
      print(f"\n [DEBUG] Network troubleshooting:")
      print(f" - Check if you can access: https://huggingface.co/{model_id_to_load}")
      print(f" - Try with a VPN if HuggingFace is blocked")
      print(f" - Check if HF_ENDPOINT is set (for China mirror): {os.environ.get('HF_ENDPOINT', 'not set')}")
      elif "FrozenDict" in error_str or "scale_factor" in error_str or "has no attribute" in error_str:
      print(f"❌ Pipeline compatibility error: {model_id_to_load}")
      print(f" This model uses a pipeline architecture incompatible with your diffusers version.")
      print(f" The model may require a specific diffusers version or different pipeline class.")
      if debug:
      print(f"\n [DEBUG] Compatibility troubleshooting:")
      print(f" - Try updating diffusers: pip install --upgrade git+https://github.com/huggingface/diffusers.git")
      print(f" - Check the model's documentation for required versions")
      print(f" - The model may be incorrectly configured in models.json")
      print(f"\n 💡 Try a different model with --model <name>")
      else:
      print(f"Model loading failed: {e}")
      if debug:
      import traceback
      print(f"\n [DEBUG] Full traceback:")
      traceback.print_exc()
      print(f"\n 💡 Try searching for alternative models: videogen --search-models <query>")
      sys.exit(1)
      timing.end_step() # model_loading
      ......
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