adapt for wallpaper format

app.py

@@ -62,6 +62,8 @@ def infer(prompt, seed, randomize_seed):
         guidance_scale=0,
         num_inference_steps=NUM_INFERENCE_STEPS,
         generator=generator,
+        width=464,
+        height=1024
     ).images[0]
 
     return image
@@ -82,7 +84,7 @@ examples = [
 css = """
 #col-container {
     margin: 0 auto;
-    max-width: 512px;
+    max-width: 1080px;
 }
 """
 
@@ -93,52 +95,59 @@ else:
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(
-            f"""
-        # ⚡ Flash Diffusion: FlashPixart ⚡
-        This is an interactive demo of [Flash Diffusion](https://gojasper.github.io/flash-diffusion-project/), a diffusion distillation method proposed in [Flash Diffusion: Accelerating Any Conditional
-        Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) *by Clément Chadebec, Onur Tasar, Eyal Benaroche and Benjamin Aubin* from Jasper Research.
-        [This model](https://huggingface.co/jasperai/flash-pixart) is a **66.5M** LoRA distilled version of [Pixart-α](https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS) model that is able to generate 1024x1024 images in **4 steps**. 
-        Currently running on {power_device}.
-        """
-        )
-        gr.Markdown(
-            "If you enjoy the space, please also promote *open-source* by giving a ⭐ to the <a href='https://github.com/gojasper/flash-diffusion' target='_blank'>Github Repo</a>."
-        )
-        gr.Markdown(
-            "💡 *Hint:* To better appreciate the low latency of our method, run the demo locally !"
-        )
-
         with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-            )
-
-            run_button = gr.Button("Run", scale=0)
-
-        result = gr.Image(label="Result", show_label=False)
-
-        with gr.Accordion("Advanced Settings", open=False):
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-
-        examples = gr.Examples(examples=examples, inputs=[prompt])
-
-        gr.Markdown("**Disclaimer:**")
-        gr.Markdown(
-            "This demo is only for research purpose. Jasper cannot be held responsible for the generation of NSFW (Not Safe For Work) content through the use of this demo. Users are solely responsible for any content they create, and it is their obligation to ensure that it adheres to appropriate and ethical standards. Jasper provides the tools, but the responsibility for their use lies with the individual user."
-        )
+            with gr.Column():
+                gr.Markdown(
+                    f"""
+                # ⚡ Flash Diffusion for Phone Wallpapers ⚡
+                This space version will generate 464x1024 images for your smartphones :)
+                
+                This is an interactive demo of [Flash Diffusion](https://gojasper.github.io/flash-diffusion-project/), a diffusion distillation method proposed in [Flash Diffusion: Accelerating Any Conditional
+                Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) *by Clément Chadebec, Onur Tasar, Eyal Benaroche and Benjamin Aubin* from Jasper Research.
+                [This model](https://huggingface.co/jasperai/flash-pixart) is a **66.5M** LoRA distilled version of [Pixart-α](https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS) model that is able to generate 1024x1024 images in **4 steps**. 
+                Currently running on {power_device}.
+                """
+                )
+                gr.Markdown(
+                    "If you enjoy the space, please also promote *open-source* by giving a ⭐ to the <a href='https://github.com/gojasper/flash-diffusion' target='_blank'>Github Repo</a>."
+                )
+                gr.Markdown(
+                    "💡 *Hint:* To better appreciate the low latency of our method, run the demo locally !"
+                )
+
+                with gr.Row():
+                    prompt = gr.Text(
+                        label="Prompt",
+                        show_label=False,
+                        max_lines=1,
+                        placeholder="Enter your prompt",
+                        container=False,
+                    )
+
+                    run_button = gr.Button("Run", scale=0)
+
+                with gr.Accordion("Advanced Settings", open=False):
+                    seed = gr.Slider(
+                        label="Seed",
+                        minimum=0,
+                        maximum=MAX_SEED,
+                        step=1,
+                        value=0,
+                    )
+
+                    randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+                
+                examples = gr.Examples(examples=examples, inputs=[prompt])
+
+                gr.Markdown("**Disclaimer:**")
+                gr.Markdown(
+                    "This demo is only for research purpose. Jasper cannot be held responsible for the generation of NSFW (Not Safe For Work) content through the use of this demo. Users are solely responsible for any content they create, and it is their obligation to ensure that it adheres to appropriate and ethical standards. Jasper provides the tools, but the responsibility for their use lies with the individual user."
+                )
+
+            result = gr.Image(label="Result", show_label=False)
+
+        
+
     gr.on(
         [run_button.click, seed.change, randomize_seed.change, prompt.submit],
         fn=infer,