Update app.py

app.py

@@ -12,13 +12,25 @@ token_hf = os.environ["HF_TOKEN"]
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype)
-pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"))
-pipe.fuse_lora(lora_scale=0.125)
-pipe.to(device="cuda", dtype=dtype)
+# pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype)
+# pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"))
+# pipe.fuse_lora(lora_scale=0.125)
+# pipe.to(device="cuda", dtype=dtype)
 
 # pipe = FluxPipeline.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=torch.bfloat16).to(device)
 
+model_id = "black-forest-labs/FLUX.1-dev"
+adapter_id = "alimama-creative/FLUX.1-Turbo-Alpha"
+
+pipe = FluxPipeline.from_pretrained(
+  model_id,
+  torch_dtype=dtype
+)
+pipe.to(device)
+
+pipe.load_lora_weights(adapter_id)
+pipe.fuse_lora()
+
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048