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laloadrianmorales
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89cd2fd
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Parent(s):
87aac4e
update space
Browse files
app.py
CHANGED
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import gradio as gr
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import gradio as gr
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from PIL import Image
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import torch
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from diffusers import StableDiffusionPipeline
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# Load the model
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model_id = "models/black-forest-labs/FLUX.1-dev"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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def generate_image(prompt, negative_prompt, num_inference_steps, guidance_scale, width, height):
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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width=width,
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height=height
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).images[0]
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return image
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def edit_image(image, brightness, contrast, saturation):
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edited = Image.fromarray(image)
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edited = edited.convert('RGB')
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edited = edited.point(lambda p: p * brightness)
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edited = edited.point(lambda p: 128 + (p - 128) * contrast)
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edited = edited.convert('HSV')
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h, s, v = edited.split()
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s = s.point(lambda p: p * saturation)
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edited = Image.merge('HSV', (h, s, v)).convert('RGB')
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return edited
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with gr.Blocks(css="style.css") as demo:
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gr.Markdown("# FLUX.1 Image Generator")
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with gr.Tab("Generate"):
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="Prompt")
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negative_prompt = gr.Textbox(label="Negative Prompt")
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steps = gr.Slider(minimum=1, maximum=100, value=50, step=1, label="Inference Steps")
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guidance = gr.Slider(minimum=1, maximum=20, value=7.5, step=0.1, label="Guidance Scale")
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width = gr.Slider(minimum=256, maximum=1024, value=512, step=64, label="Width")
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height = gr.Slider(minimum=256, maximum=1024, value=512, step=64, label="Height")
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generate_btn = gr.Button("Generate")
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with gr.Column():
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output = gr.Image(label="Generated Image")
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with gr.Tab("Edit"):
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(label="Input Image")
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brightness = gr.Slider(minimum=0.5, maximum=1.5, value=1.0, step=0.1, label="Brightness")
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contrast = gr.Slider(minimum=0.5, maximum=1.5, value=1.0, step=0.1, label="Contrast")
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saturation = gr.Slider(minimum=0.5, maximum=1.5, value=1.0, step=0.1, label="Saturation")
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edit_btn = gr.Button("Apply Edits")
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with gr.Column():
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edited_output = gr.Image(label="Edited Image")
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generate_btn.click(generate_image, inputs=[prompt, negative_prompt, steps, guidance, width, height], outputs=output)
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edit_btn.click(edit_image, inputs=[input_image, brightness, contrast, saturation], outputs=edited_output)
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demo.launch()
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