Public hf_hub

Just a small change in the repo name to let people clone the space and make it work with a public hf_hub for LoRa and SDXL.

Thanks for sharing your wonderful work it's amazing !

app.py

@@ -19,12 +19,12 @@ os.makedirs(civitai_model_path, exist_ok=True)
 base_model_name = "sdxlUnstableDiffusers_v11.safetensors"
 base_model_path = os.path.join(civitai_model_path, base_model_name)
 if not os.path.exists(base_model_path):
-    base_model_path = hf_hub_download(repo_id="Paper99/sdxlUnstableDiffusers_v11", filename=base_model_name, repo_type="model")
+    base_model_path = hf_hub_download(repo_id="frankjoshua/sdxlUnstableDiffusers_v11", filename=base_model_name, repo_type="model")
 
-lora_model_name = "xl_more_art-full.safetensors"
+lora_model_name = "xl_more_art-full_v1.safetensors"
 lora_path = os.path.join(civitai_model_path, lora_model_name)
 if not os.path.exists(lora_path):
-    lora_path = hf_hub_download(repo_id="Paper99/sdxlUnstableDiffusers_v11", filename=lora_model_name, repo_type="model")
+    lora_path = hf_hub_download(repo_id="frankjoshua/xl_more_art-full_v1", filename=lora_model_name, repo_type="model")
     
 # global variable
 device = "cuda" if torch.cuda.is_available() else "cpu"