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Parent(s): 5a33c26
Add FLUX Kontext image editor
Browse files- README.md +7 -7
- app.py +92 -0
- requirements.txt +3 -0
README.md
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---
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title: Image Editor Fast
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 6.
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python_version: '3.13'
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app_file: app.py
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pinned: false
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license: openrail
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short_description: Image Editor Fast Prompt
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---
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---
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title: Image Editor Fast
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emoji:
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colorFrom: purple
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colorTo: pink
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sdk: gradio
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sdk_version: 6.0.0
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app_file: app.py
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pinned: false
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license: openrail
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---
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# FLUX.1 Kontext Image Editor
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Edit images using natural language. Bring your own HF token.
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app.py
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import io
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import gradio as gr
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from huggingface_hub import InferenceClient
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from PIL import Image
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def edit_image(hf_token, input_image, prompt, progress=gr.Progress()):
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if not hf_token.strip():
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return None, "Please enter your HF token."
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if input_image is None:
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return None, "Please upload an image."
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if not prompt.strip():
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return None, "Please enter an edit instruction."
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try:
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client = InferenceClient(
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provider="fal-ai",
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api_key=hf_token.strip(),
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)
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progress(0.2, desc="Uploading image...")
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img_bytes = io.BytesIO()
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input_image.save(img_bytes, format="PNG")
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img_bytes = img_bytes.getvalue()
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progress(0.4, desc="Running FLUX Kontext...")
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result = client.image_to_image(
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img_bytes,
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prompt=prompt.strip(),
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model="black-forest-labs/FLUX.1-Kontext-dev",
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)
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progress(1.0, desc="Done!")
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return result, "Done!"
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except Exception as e:
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return None, f"Error: {str(e)}"
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EXAMPLES = [
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["Make the sky look like a sunset"],
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["Remove the background and make it white"],
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["Make it look like a watercolor painting"],
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["Add snow to the ground"],
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["Change the style to anime"],
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["Make it look like it was taken at night"],
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]
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with gr.Blocks(title="FLUX Kontext Image Editor") as demo:
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gr.Markdown("# FLUX.1 Kontext Image Editor")
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gr.Markdown("Edit any image using natural language. Uses your own HF token — your credits, your privacy.")
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with gr.Accordion("Setup: Enter your HF Token", open=True):
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gr.Markdown("""
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1. Get your free token at [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens)
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2. Make sure **Inference Providers** permission is enabled
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3. Paste it below — it stays in your browser only
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""")
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hf_token = gr.Textbox(
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label="HF Token",
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placeholder="hf_...",
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type="password",
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)
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with gr.Row():
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with gr.Column():
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input_img = gr.Image(type="pil", label="Input Image")
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prompt = gr.Textbox(
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label="Edit Instruction",
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placeholder="e.g. make the sky look like a sunset",
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lines=2,
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)
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run_btn = gr.Button("Edit Image", variant="primary")
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gr.Examples(examples=EXAMPLES, inputs=[prompt], label="Example Prompts")
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with gr.Column():
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output_img = gr.Image(label="Edited Image")
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status = gr.Textbox(label="Status", interactive=False)
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run_btn.click(
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fn=edit_image,
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inputs=[hf_token, input_img, prompt],
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outputs=[output_img, status],
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)
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gr.Markdown("""
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### Tips
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- Be specific: "make the sky orange and purple at sunset"
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- Object removal: "remove the car on the left and fill with grass"
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- Style: "make it look like a Van Gogh painting"
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- Your HF token is never stored or sent anywhere except HF servers
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""")
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if __name__ == "__main__":
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demo.launch(share=False)
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requirements.txt
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gradio
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huggingface_hub
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Pillow
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