DiffusionArtco
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Duplicate from DiffusionArtco/diffusion10
Browse files- .gitattributes +34 -0
- README.md +13 -0
- app.py +37 -0
.gitattributes
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README.md
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---
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title: ImagineAI Imagine Generator
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emoji: 💩
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colorFrom: yellow
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colorTo: pink
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sdk: gradio
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sdk_version: 3.24.1
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app_file: app.py
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pinned: false
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duplicated_from: DiffusionArtco/diffusion10
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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import requests
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from PIL import Image
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from io import BytesIO
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import base64
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api_url = "https://5cb20b40-572c-426f-9466-995256f9b6eb.id.repl.co/generate_image"
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def generate_image(model="Deliberate", prompt="", seed=0, negative_prompt="", sampler="k_dpmpp_2s_a", steps=50):
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data = "?model=" + model + "&prompt=" + prompt + "&seed=" + str(seed) + "&negative_prompt=" + negative_prompt + "&sampler=" + sampler + "&steps=" + str(steps)
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response = requests.post(api_url + data, timeout=400)
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if response.status_code == 200:
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img_base64 = response.json()["url"]
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img_bytes = base64.b64decode(img_base64)
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img = Image.open(BytesIO(img_bytes))
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return img
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else:
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return None
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inputs = [
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gr.inputs.Dropdown(['Abyss OrangeMix', 'Anything Diffusion', 'ChilloutMix', 'Deliberate', 'Dreamshaper', 'Dreamlike Diffusion', 'Dreamlike Photoreal', 'Experience', 'Midjourney Diffusion', 'ProtoGen', 'Realistic Vision', 'Rev Animated'], label="Model", default="Deliberate"),
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gr.inputs.Textbox(label="Prompt"),
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gr.inputs.Number(label="Seed", default=0),
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gr.inputs.Textbox(label="Negative Prompt", default=""),
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gr.inputs.Dropdown(["k_lms", "k_heun", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "DDIM", "k_dpm_fast", "k_dpm_adaptive", "k_dpmpp_2m", "k_dpmpp_2s_a", "k_dpmpp_sde"], label="Sampler", default="k_dpmpp_2s_a"),
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gr.inputs.Number(label="Steps", default=50)
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]
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outputs = gr.outputs.Image(label="Generated Image", type="pil")
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interface = gr.Interface(generate_image, inputs, outputs, title="Best Diffusion Models",
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description="<center>Live access to the Most Popular Diffusion models of all time</center>",
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examples=[])
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interface.launch()
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