fix timesteps

app.py

@@ -162,6 +162,7 @@ def inference(text, init_image, skip_timesteps, clip_guidance_scale, tv_scale, r
         init = Image.fromarray(init_image).convert('RGB')
         init = init.resize((side_x, side_y), Image.LANCZOS)
         init = TF.to_tensor(init).to(device).unsqueeze(0).mul(2).sub(1)
+    else: skip_timesteps = 0
     cur_t = None
     def cond_fn(x, t, y=None):
         with torch.enable_grad():
@@ -246,8 +247,8 @@ 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=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")
+              init_scale = gr.Slider(minimum=0, maximum=10000, step=100, value=1000, label="Look like the image above")
+              skip_timesteps = gr.Slider(minimum=0, maximum=100, step=1, value=30, label="Style strength")
           # with gr.Group():
             with gr.Column():
               image_prompts = gr.Image(source="upload", label='image prompt (optional)')