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README.md

@@ -1,12 +1,13 @@
 ---
-title: Controlnet Stable Diffusion 3 Tile
-emoji: 🏃
-colorFrom: blue
-colorTo: pink
+title: ControlNet SD3 (Tile)
+emoji: 💥
+colorFrom: gray
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.40.0
+sdk_version: 4.36.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from diffusers.utils import load_image
+import spaces
+from panna import ControlNetSD3
+
+model = ControlNetSD3(condition_type="canny")
+title = ("# [ControlNet SD3](https://huggingface.co/docs/diffusers/en/api/pipelines/controlnet_sd3) (Tile Conditioning)\n"
+         "The demo is part of [panna](https://github.com/abacws-abacus/panna) project.")
+example_files = []
+for n in range(1, 10):
+    load_image(f"https://huggingface.co/spaces/depth-anything/Depth-Anything-V2/resolve/main/assets/examples/demo{n:0>2}.jpg").save(f"demo{n:0>2}.jpg")
+    example_files.append(f"demo{n:0>2}.jpg")
+
+
+@spaces.GPU()
+def infer(init_image, prompt, negative_prompt, seed, guidance_scale, controlnet_conditioning_scale, num_inference_steps):
+    return model.text2image(
+        image=[init_image],
+        prompt=[prompt],
+        negative_prompt=[negative_prompt],
+        guidance_scale=guidance_scale,
+        controlnet_conditioning_scale=controlnet_conditioning_scale,
+        num_inference_steps=num_inference_steps,
+        seed=seed
+    )[0]
+
+
+with gr.Blocks() as demo:
+    gr.Markdown(title)
+    with gr.Row():
+        prompt = gr.Text(label="Prompt", show_label=True, max_lines=1, placeholder="Enter your prompt", container=False)
+        run_button = gr.Button("Run", scale=0)
+    with gr.Row():
+        init_image = gr.Image(label="Input Image", type='pil')
+        result = gr.Image(label="Result")
+    with gr.Accordion("Advanced Settings", open=False):
+        negative_prompt = gr.Text(label="Negative Prompt", max_lines=1, placeholder="Enter a negative prompt")
+        seed = gr.Slider(label="Seed", minimum=0, maximum=1_000_000, step=1, value=0)
+        with gr.Row():
+            guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=10.0, step=0.1, value=7.5)
+            controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning scale", minimum=0.0, maximum=1.0, step=0.05, value=0.5)
+            num_inference_steps = gr.Slider(label="Inference steps", minimum=1, maximum=50, step=1, value=50)
+    examples = gr.Examples(examples=example_files, inputs=[init_image])
+    gr.on(
+        triggers=[run_button.click, prompt.submit, negative_prompt.submit],
+        fn=infer,
+        inputs=[init_image, prompt, negative_prompt, seed, guidance_scale, controlnet_conditioning_scale, num_inference_steps],
+        outputs=[result]
+    )
+demo.launch(server_name="0.0.0.0")

requirements.txt

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+git+https://github.com/huggingface/diffusers.git
+accelerate
+sentencepiece
+panna>=0.0.9