Update app.py

app.py

@@ -20,18 +20,18 @@ torch.cuda.empty_cache()
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     #generator=np.random.seed(0)
-    image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
+    image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, max_sequence_length=512).images[0]
     #image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=.99).images[0]
     torch.cuda.empty_cache()
         
     return image
     
-gr.Interface(fn=genie, inputs=[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.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 512 Token Limit.'), 
+                               gr.Textbox(label='What you Do Not want the AI to generate. 512 Token Limit'),
                                gr.Slider(512, 1536, 1024, step=128, label='Height'),
                                gr.Slider(512, 1536, 1024, step=128, label='Width'),
-                               gr.Slider(.5, maximum=15, value=7, step=.25, label='Guidance Scale'), 
-                               gr.Slider(10, maximum=50, value=25, step=5, label='Number of Prior Iterations'),
+                               gr.Slider(.5, maximum=15, value=5, step=.25, label='Guidance Scale'), 
+                               gr.Slider(10, maximum=60, value=28, step=2, label='Number of 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 V3.0 with Stable Diffusion 3.5-Medium - GPU",