Upload app.py

app.py

@@ -14,7 +14,8 @@ with open('loras.json', 'r') as f:
     loras = json.load(f)
 
 # Initialize the base model
-models = ["camenduru/FLUX.1-dev-diffusers", "black-forest-labs/FLUX.1-schnell"]
+models = ["camenduru/FLUX.1-dev-diffusers", "black-forest-labs/FLUX.1-schnell",
+           "sayakpaul/FLUX.1-merged", "John6666/blue-pencil-flux1-v001-fp8-flux"]
 base_model = models[0]
 pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)