Update app.py

app.py

@@ -25,9 +25,10 @@ DEFAULT_WIDTH = 1024
 
 REPO = "sd-community/sdxl-flash"
 
+vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae")
 controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k", torch_dtype=torch.float32)
 
-model = StableDiffusionXLPipeline.from_pretrained(REPO, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
+model = StableDiffusionXLPipeline.from_pretrained(REPO, vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 model.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
 model.set_adapters(["base"], adapter_weights=[0.7])
 model.to(DEVICE)
@@ -69,7 +70,7 @@ def generate(input=DEFAULT_INPUT, negative_input=DEFAULT_NEGATIVE_INPUT, height=
         "num_inference_steps": steps,
         "guidance_scale": guidance,
         "num_images_per_prompt": number,
-        "controlnet_conditioning_scale": 0.5,
+        "controlnet_conditioning_scale": 1,
         "cross_attention_kwargs": {"scale": 1},
         "generator": torch.Generator().manual_seed(seed),
         "use_resolution_binning": True,