main

gradio_app.py

@@ -31,31 +31,31 @@ from huggingface_hub import hf_hub_download
 repo_id = "Kijai/flux-fp8"
 file_name = "flux1-dev-fp8.safetensors"
 BASE_FLUX_CHECKPOINT = hf_hub_download(repo_id=repo_id, filename=file_name)
-print(f"Downloaded BASE_FLUX_CHECKPOINT saved at: {file_path}")
+print(f"Downloaded BASE_FLUX_CHECKPOINT saved at: {BASE_FLUX_CHECKPOINT}")
 
 from huggingface_hub import hf_hub_download
 repo_id = "comfyanonymous/flux_text_encoders"
 file_name = "clip_l.safetensors"
 CLIP_L_PATH = hf_hub_download(repo_id=repo_id, filename=file_name)
-print(f"Downloaded CLIP_L_PATH saved at: {file_path}")
+print(f"Downloaded CLIP_L_PATH saved at: {CLIP_L_PATH}")
 
 from huggingface_hub import hf_hub_download
 repo_id = "comfyanonymous/flux_text_encoders"
 file_name = "t5xxl_fp8_e4m3fn.safetensors"
 T5XXL_PATH = hf_hub_download(repo_id=repo_id, filename=file_name)
-print(f"Downloaded T5XXL_PATH saved at: {file_path}")
+print(f"Downloaded T5XXL_PATH saved at: {T5XXL_PATH}")
 
 from huggingface_hub import hf_hub_download
 repo_id = "black-forest-labs/FLUX.1-dev"
 file_name = "ae.safetensors"
 AE_PATH = hf_hub_download(repo_id=repo_id, filename=file_name)
-print(f"Downloaded AE_PATH saved at: {file_path}")
+print(f"Downloaded AE_PATH saved at: {AE_PATH}")
 
 from huggingface_hub import hf_hub_download
 repo_id = "showlab/makeanything"
 file_name = "recraft_9f_lego.safetensors"
 LORA_WEIGHTS_PATH = hf_hub_download(repo_id=repo_id, filename=file_name)
-print(f"Downloaded LORA_WEIGHTS_PATH saved at: {file_path}")
+print(f"Downloaded LORA_WEIGHTS_PATH saved at: {LORA_WEIGHTS_PATH}")
 
 # Load model function
 def load_target_model():