Update app.py

app.py

@@ -21,9 +21,9 @@ else:
     refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
     refiner = refiner.to(device)
 
-def genie (prompt, negative_prompt, height, width, scale, steps, seed):
+def genie (prompt, negative_prompt, height, width, scale, steps, seed, prompt_2, negative_prompt_2):
     generator = torch.Generator(device=device).manual_seed(seed)
-    int_image = pipe(prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, output_type="latent").images 
+    int_image = pipe(prompt, prompt_2=prompt_2, negative_prompt_2=negative_prompt_2, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, output_type="latent").images 
     image = refiner(prompt=prompt, negative_prompt=negative_prompt, image=int_image).images[0]
     return image
     
@@ -33,7 +33,14 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
     gr.Slider(512, 1024, 768, step=128, label='Width'),
     gr.Slider(1, 15, 10, label='Guidance Scale'), 
     gr.Slider(25, maximum=50, value=25, step=1, label='Number of Iterations'), 
-    gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True)], 
+    gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True),
+    with gr.Accordion('Advanced options', open=False):
+        with gr.Row():
+            use_prompt_2 = gr.Checkbox(label='Use prompt 2', value=False),
+            use_negative_prompt_2 = gr.Checkbox(label='Use negative prompt 2', value=False),
+            if use_prompt_2 == True prompt_2 = gr.Textbox(label='Embedded Prompt'),
+            if use_negative_prompt_2 == True negative_prompt_2 = gr.Textbox(label='Embedded Negative Prompt'),             
+            ], 
     outputs='image', 
     title="Stable Diffusion XL 1.0 CPU or GPU", 
     description="SDXL 1.0 CPU or GPU. Currently running on CPU. <br><br><b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively. This model is capable of producing NSFW (Softcore) images.",