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README.md

@@ -1,12 +1,13 @@
 ---
-title: Flux 1 Dev
-emoji: 👁
+title: FLUX 1 DEV
+emoji: 🎨
 colorFrom: green
-colorTo: red
+colorTo: yellow
 sdk: gradio
-sdk_version: 4.40.0
+sdk_version: 4.36.1
 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

@@ -0,0 +1,57 @@
+import gradio as gr
+import spaces
+from panna import Flux1Dev
+
+
+model = Flux1Dev()
+title = ("# [Flux 1 Dev](https://huggingface.co/black-forest-labs/FLUX.1-dev)\n"
+         "The demo is part of [panna](https://github.com/asahi417/panna) project.")
+examples = [
+    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
+    "A female model, high quality, fashion, Paris, Vogue, Maison Margiela, 8k",
+]
+css = """
+#col-container {
+    margin: 0 auto;
+    max-width: 580px;
+}
+"""
+
+
+@spaces.GPU
+def infer(prompt, negative_prompt, seed, width, height, guidance_scale, num_inference_steps):
+    return model.text2image(
+        prompt=[prompt],
+        negative_prompt=[negative_prompt],
+        guidance_scale=guidance_scale,
+        num_inference_steps=num_inference_steps,
+        width=width,
+        height=height,
+        seed=seed
+    )[0]
+
+
+with gr.Blocks(css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown(title)
+        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):
+            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():
+                width = gr.Slider(label="Width", minimum=256, maximum=1344, step=64, value=1024)
+                height = gr.Slider(label="Height", minimum=256, maximum=1344, step=64, value=1024)
+            with gr.Row():
+                guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=10.0, step=0.1, value=3.5)
+                num_inference_steps = gr.Slider(label="Inference steps", minimum=1, maximum=50, step=1, value=50)
+        gr.Examples(examples=examples, inputs=[prompt])
+    gr.on(
+        triggers=[run_button.click, prompt.submit, negative_prompt.submit],
+        fn=infer,
+        inputs=[prompt, negative_prompt, seed, width, height, guidance_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>=0.0.4