Update app.py

app.py

@@ -25,13 +25,21 @@ def infer(source_img, prompt, negative_prompt, guide, steps, seed, Strength):
     image = pipe(prompt, negative_prompt=negative_prompt, image=source_image, strength=Strength, guidance_scale=guide, num_inference_steps=steps).images[0]
     return image
 
-gr.Interface(theme='ParityError/Anime', fn=infer, inputs=[gr.Image(source="upload", type="filepath", label="Raw Image. Must Be .png"), gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'), gr.Textbox(label='What you Do Not want the AI to generate.'),
-    gr.Slider(2, 15, value = 7, label = 'Guidance Scale'),
-    gr.Slider(1, 25, value = 10, step = 1, label = 'Number of Iterations'),
-    gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True), 
-    gr.Slider(label='Strength', minimum = 0, maximum = 1, step = .05, value = .5)], 
-                
-    outputs='image', title="Dream Art (SD) ", 
+gr.Interface(theme='ParityError/Anime', fn=genie, inputs=[gr.Textbox(label='Input field right under here(Prompt)'), 
+                               gr.Textbox(label='What You dont want (Negative Prompt)'),
+                               gr.Slider(512, 1024, 768, step=128, label='Height'),
+                               gr.Slider(512, 1024, 768, step=128, label='Width'),
+                               gr.Slider(1, maximum=15, value=10, step=.25), 
+                               gr.Slider(25, maximum=100, value=50, step=25), 
+                               gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True), 
+                              # gr.Radio(["Yes", "No"], label='Upscale?'),
+                               #gr.Textbox(label='Upscaler Prompt: Optional'),
+                               #gr.Textbox(label='Upscaler Negative Prompt: Both Optional And Experimental'),
+                               #gr.Slider(minimum=0, maximum=15, value=0, step=1, label='Upscale Guidance Scale'),
+                               #gr.Slider(minimum=5, maximum=25, value=5, step=5, label='Upscaler Iterations')
+             
+                              ],
+             outputs=gr.Image(label='Generated Image'), 
+             title="Dream Art (SD) ", 
              description="<br> <h4> <div style='width:100%'> Info:Dream Art (SD) <br> This App is our favorite now and shows how Stable diffusion works i a good way !</h4> </div>", 
-        
-             .queue(max_size=5).launch()
+             ).launch(debug=True, max_threads=True)