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import io |
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import os |
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import warnings |
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from PIL import Image |
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from stability_sdk import client |
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import stability_sdk.interfaces.gooseai.generation.generation_pb2 as generation |
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import gradio as gr |
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stability_api = client.StabilityInference( |
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key=os.environ["Secret"], |
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verbose=True, |
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) |
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def infer(prompt): |
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answers = stability_api.generate( |
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prompt=f"Beautiful Portait of a {prompt} made out of flowers 💐 🌺 🌸 , artstation winner by Victo Ngai, Kilian Eng, vibrant colors, winning-award masterpiece, aesthetic octane render, 8K HD", |
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height 640 |
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) |
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for resp in answers: |
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for artifact in resp.artifacts: |
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if artifact.finish_reason == generation.FILTER: |
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warnings.warn( |
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"Your request activated the API's safety filters and could not be processed." |
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"Please modify the prompt and try again.") |
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if artifact.type == generation.ARTIFACT_IMAGE: |
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img = Image.open(io.BytesIO(artifact.binary)) |
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return img |
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block = gr.Blocks(css=".container { max-width: 600px; margin: auto; }") |
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num_samples = 1 |
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with block as demo: |
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gr.Markdown("<h1><center>Flower Diffusion</center></h1>") |
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gr.Markdown( |
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"Get a pretty flowery image from any prompt - keep it simple!" |
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) |
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with gr.Group(): |
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with gr.Box(): |
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with gr.Row().style(mobile_collapse=False, equal_height=True): |
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text = gr.Textbox( |
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value = "Kitty cat", |
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label="Enter your prompt", show_label=False, max_lines=1 |
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).style( |
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border=(True, False, True, True), |
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rounded=(True, False, False, True), |
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container=False, |
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) |
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btn = gr.Button("Run").style( |
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margin=False, |
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rounded=(False, True, True, False), |
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) |
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gallery = gr.Image() |
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text.submit(infer, inputs=[text], outputs=gallery) |
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btn.click(infer, inputs=[text], outputs=gallery) |
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demo.launch(debug=True, enable_queue = True) |
