Create app.py

app.py

@@ -0,0 +1,91 @@
+from diffusers import StableDiffusionPipeline
+import gradio as gr
+import torch
+
+models = [
+  "DGSpitzer/Cyberpunk-Anime-Diffusion"
+]
+
+prompt_prefixes = {
+  models[0]: "cyberpunk anime style"
+}
+
+current_model = models[0]
+pipe = StableDiffusionPipeline.from_pretrained(current_model, torch_dtype=torch.float16)
+if torch.cuda.is_available():
+  pipe = pipe.to("cuda")
+
+device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
+
+def on_model_change(model):
+
+    global current_model
+    global pipe
+    if model != current_model:
+        current_model = model
+        pipe = StableDiffusionPipeline.from_pretrained(current_model, torch_dtype=torch.float16)
+        if torch.cuda.is_available():
+            pipe = pipe.to("cuda")
+
+def inference(prompt, guidance, steps):
+
+    prompt = prompt_prefixes[current_model] + prompt
+    image = pipe(prompt, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images[0]
+    return image
+
+with gr.Blocks() as demo:
+    gr.HTML(
+        """
+            <div style="text-align: center; max-width: 700px; margin: 0 auto;">
+              <div
+                style="
+                  display: inline-flex;
+                  align-items: center;
+                  gap: 0.8rem;
+                  font-size: 1.75rem;
+                "
+              >
+                <h1 style="font-weight: 900; margin-bottom: 7px;">
+                  DGS Diffusion Space
+                </h1>
+              </div>
+              <p style="margin-bottom: 10px; font-size: 94%">
+               Demo for Cyberpunk Anime Diffusion. Based of Finetuned Diffusion by anzorq <a href="https://twitter.com/hahahahohohe">
+              </p>
+            </div>
+        """
+    )
+    with gr.Row():
+        
+        with gr.Column():
+            model = gr.Dropdown(label="Model", choices=models, value=models[0])
+            prompt = gr.Textbox(label="Prompt", placeholder="{} is added automatically".format(prompt_prefixes[current_model]))
+            guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
+            steps = gr.Slider(label="Steps", value=50, maximum=100, minimum=2)
+            run = gr.Button(value="Run")
+            gr.Markdown(f"Running on: {device}")
+        with gr.Column():
+            image_out = gr.Image(height=512)
+
+    model.change(on_model_change, inputs=model, outputs=[])
+    run.click(inference, inputs=[prompt, guidance, steps], outputs=image_out)
+    gr.Examples([
+        ["portrait of a girl in dgs illustration style, Anime girl, female soldier working in a cyberpunk city, cleavage, ((perfect femine face)), intricate, 8k, highly detailed, shy, digital painting, intense, sharp focus", 7, 20],
+        ["a photo of muscular beard soldier male in dgs illustration style, half-body, holding robot arms, strong chest", 7.0, 20],
+        ["portrait of ((Harry Potter)) muscular ((male)) in dgs illustration style, photorealistic painting, soldier working in a  cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7, 20],
+        ["portrait of (liu yifei) girl in dgs illustration style,  soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7, 20],
+        ["portrait of  in dgs illustration style,  soldier working in a  cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7, 20],
+    ], [prompt, guidance, steps], image_out, inference, cache_examples=torch.cuda.is_available())
+    gr.HTML('''
+        <div>
+            <p>Model by <a href="https://huggingface.co/DGSpitzer" style="text-decoration: underline;" target="_blank">@dgspitzer</a> ❤️</p>
+        </div>
+        <div>Space by 
+            <a href="https://twitter.com/DGSpitzer">
+              <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/DGSpitzer?label=%40DGSpitzer&style=social">
+            </a>
+        </div>
+        ''')
+
+demo.queue()
+demo.launch()