Update app.py

app.py

@@ -22,7 +22,7 @@ decoder.enable_model_cpu_offload()
 torch.cuda.empty_cache()
             
          
-def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
+def genie (Prompt, negative_prompt, height, width, scale, steps, d_steps, seed):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     torch.cuda.empty_cache()
     
@@ -41,7 +41,7 @@ def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
     negative_prompt=negative_prompt,
     guidance_scale=0.0,
     output_type="pil",
-    num_inference_steps=10).images[0]
+    num_inference_steps=d_steps).images[0]
     torch.cuda.empty_cache()
     return image
     
@@ -50,7 +50,8 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
                                gr.Slider(512, 2048, 1024, step=128, label='Height'),
                                gr.Slider(512, 2048, 1024, step=128, label='Width'),
                                gr.Slider(.5, maximum=15, value=3, step=.25, label='Guidance Scale'), 
-                               gr.Slider(10, maximum=50, value=25, step=5, label='Number of Iterations'), 
+                               gr.Slider(10, maximum=50, value=25, step=5, label='Number of Prior Iterations'), 
+                               gr.Slider(0, maximum=25, value=10, step=5, label="Number of Decoder Iterations"),
                                gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random')],
              outputs=gr.Image(label='Generated Image'), 
              title="Manju Dream Booth V2.1 with Stable-Cascade - GPU",