Update app.py

app.py

@@ -38,11 +38,11 @@ with open('loras.json', 'r') as f:
 # Initialize the base model
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
-base_model = "lora1" #"black-forest-labs/FLUX.1-dev"
+base_model = "black-forest-labs/FLUX.1-schnell"
 
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
-good_vae = AutoencoderKL.from_pretrained("black-forest-labs/flux.1-dev", subfolder="vae", torch_dtype=dtype).to(device)
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/flux.1-dev", torch_dtype=dtype, vae=taef1).to(device)
+good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device)
+pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=taef1).to(device)
 pipe_i2i = AutoPipelineForImage2Image.from_pretrained(
     base_model,
     vae=good_vae,