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atharvapawar
commited on
Commit
•
0672323
1
Parent(s):
cae188c
Update app.py
Browse files
app.py
CHANGED
@@ -2,17 +2,47 @@ import gradio as gr
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained("sd-dreambooth-library/herge-style", torch_dtype=torch.float16).to("cuda")
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def generate_image(prompt):
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pipeline.enable_freeu(s1=0.6, s2=0.4, b1=1.1, b2=1.2)
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image = pipeline(prompt).images[0]
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return image
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from diffusers import AutoPipelineForText2Image
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import torch
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# Load Dreambooth model
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pipeline = AutoPipelineForText2Image.from_pretrained("sd-dreambooth-library/herge-style", torch_dtype=torch.float16).to("cuda")
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def generate_image(prompt):
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# Generate image based on prompt
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pipeline.enable_freeu(s1=0.6, s2=0.4, b1=1.1, b2=1.2)
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image = pipeline(prompt).images[0]
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return image
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def image_to_base64(image):
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# Convert image to base64
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buffered = BytesIO()
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image.save(buffered, format="JPEG")
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return base64.b64encode(buffered.getvalue()).decode()
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def base64_to_image(base64_str):
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# Convert base64 to image
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image_data = base64.b64decode(base64_str)
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return Image.open(BytesIO(image_data))
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def handle_prompt_image(prompt):
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# Generate image based on prompt and convert to base64
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image = generate_image(prompt)
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base64_str = image_to_base64(image)
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return base64_str
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def main():
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# Interface setup
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image_input = gr.Textbox(label="Prompt", lines=3, placeholder="Enter your prompt here...")
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prompt_output = gr.Textbox(label="Base64 Encoded Image", readonly=True)
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iface = gr.Interface(
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fn=handle_prompt_image,
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inputs=image_input,
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outputs=prompt_output,
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title="Dreambooth Image Generator",
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description="Enter a prompt to generate an image using the Dreambooth model.",
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theme="compact"
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)
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iface.launch(share=True)
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if __name__ == "__main__":
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main()
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