Update app.py

app.py

@@ -14,7 +14,7 @@ os.environ["HF_HOME"] = cache_path
 import gradio as gr
 import torch
 from diffusers import FluxPipeline
-os.system(f"bash huggingface-cli login --token {os.getenv('HF_TOKEN')} --add-to-git-credential")
+
 torch.backends.cuda.matmul.allow_tf32 = True
 
 class timer:
@@ -33,19 +33,17 @@ from huggingface_hub import hf_hub_download
 import torch
 
 from diffusers import FluxPipeline, FluxTransformer2DModel, GGUFQuantizationConfig
-
+os.system("wget https://huggingface.co/city96/flux.1-lite-8B-alpha-gguf/flux.1-lite-8B-alpha-Q3_K_S.gguf -O ./model_ggufs/city96/flux.1-lite-8B-alpha-gguf/flux.1-lite-8B-alpha-Q3_K_S.gguf")
 ckpt_path = (
-    "https://huggingface.co/OlegSkutte/SDXL-Lightning-GGUF/resolve/main/sdxl_lightning_4step.q8_0.gguf"
+    "./model_ggufs/city96/flux.1-lite-8B-alpha-gguf/flux.1-lite-8B-alpha-Q3_K_S.gguf"
 )
 transformer = FluxTransformer2DModel.from_single_file(
     ckpt_path,
-    token=os.getenv('HF_TOKEN'),
     quantization_config=GGUFQuantizationConfig(compute_dtype=torch.bfloat16),
     torch_dtype=torch.bfloat16,
 )
 pipe = FluxPipeline.from_pretrained(
     "black-forest-labs/FLUX.1-dev",
-    token=os.getenv('HF_TOKEN'),
     transformer=transformer,
     torch_dtype=torch.bfloat16,
 )