Update app.py

app.py

@@ -36,7 +36,6 @@ footer {
 repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_image_detection")
 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
-controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k", torch_dtype=torch.float16) 
 
 repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 
@@ -110,8 +109,6 @@ def generate(input=DEFAULT_INPUT, filter_input="", negative_input=DEFAULT_NEGATI
         "num_inference_steps": steps,
         "guidance_scale": guidance,
         "num_images_per_prompt": number,
-        "controlnet_conditioning_scale": 1,
-        "cross_attention_kwargs": {"scale": 1},
         "generator": torch.Generator().manual_seed(seed),
         "use_resolution_binning": True,
         "output_type":"pil",