Add application file

app.py

@@ -0,0 +1,61 @@
+import gradio as gr
+import torch
+from torch import autocast
+from diffusers import StableDiffusionPipeline
+
+model_id = "hakurei/waifu-diffusion"
+device = "cuda"
+
+
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision='fp16')
+pipe = pipe.to(device)
+
+
+block = gr.Blocks(css=".container { max-width: 800px; margin: auto; }")
+
+num_samples = 2
+
+def infer(prompt):
+    with autocast("cuda"):
+        images = pipe([prompt] * num_samples, guidance_scale=7.5)["sample"]
+
+    return images
+
+
+with block as demo:
+    gr.Markdown("<h1><center>Waifu Diffusion</center></h1>")
+    gr.Markdown(
+        "waifu-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning."
+    )
+    with gr.Group():
+        with gr.Box():
+            with gr.Row().style(mobile_collapse=False, equal_height=True):
+
+                text = gr.Textbox(
+                    label="Enter your prompt", show_label=False, max_lines=1
+                ).style(
+                    border=(True, False, True, True),
+                    rounded=(True, False, False, True),
+                    container=False,
+                )
+                btn = gr.Button("Run").style(
+                    margin=False,
+                    rounded=(False, True, True, False),
+                )
+               
+        gallery = gr.Gallery(label="Generated images", show_label=False).style(
+            grid=[2], height="auto"
+        )
+        text.submit(infer, inputs=[text], outputs=gallery)
+        btn.click(infer, inputs=[text], outputs=gallery)
+
+    gr.Markdown(
+        """___
+   <p style='text-align: center'>
+   Created by https://huggingface.co/hakurei
+   <br/>
+   </p>"""
+    )
+
+
+demo.launch(debug=True)