Update app.py

app.py

@@ -349,10 +349,16 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
                image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
                torch.cuda.empty_cache()
                return image
-        
+
+    if Model == 'Cascade':
+        from diffusers import StableCascadeCombinedPipeline
+        pipe = StableCascadeCombinedPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=torch.bfloat16)
+        image = (prompt=Prompt, negative_prompt=negative_prompt, num_inference_steps=10, prior_num_inference_steps=20, prior_guidance_scale=3.0, width=width, height=height).images[0]
+        return image
+
     return image
     
-gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Anime', 'Disney', 'StoryBook', 'SemiReal', 'Animagine XL 3.0', 'SDXL 1.0', 'FusionXL'], value='PhotoReal', label='Choose Model'),
+gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Anime', 'Disney', 'StoryBook', 'SemiReal', 'Animagine XL 3.0', 'SDXL 1.0', 'FusionXL', 'Cascade'], value='PhotoReal', label='Choose Model'),
                                gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
                                gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
                                gr.Slider(512, 1280, 768, step=128, label='Height'),