fix skip_timesteps

app.py

@@ -82,6 +82,7 @@ def range_loss(input):
     
 def inference(text, init_image, skip_timesteps, clip_guidance_scale, tv_scale, range_scale, init_scale, seed, image_prompts,timestep_respacing, cutn, im_prompt_weight):
     # Model settings
+    skip_timesteps = min(skip_timesteps, timestep_respacing-1)
     device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
     model_config = model_and_diffusion_defaults()
     model_config.update({
@@ -245,8 +246,8 @@ with demo:
           # with gr.Group():
             with gr.Column():
               init_image = gr.Image(source="upload", label='initial image (optional)')
-              init_scale = gr.Slider(minimum=0, maximum=45, step=1, value=10, label="Look like the image above")
-              skip_timesteps = gr.Slider(minimum=0, maximum=1000, step=1, value=0, label="Style strength")
+              init_scale = gr.Slider(minimum=0, maximum=1000, step=100, value=10000, label="Look like the image above")
+              skip_timesteps = gr.Slider(minimum=0, maximum=100, step=1, value=0, label="Style strength")
           # with gr.Group():
             with gr.Column():
               image_prompts = gr.Image(source="upload", label='image prompt (optional)')