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DiffusionArtco
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Duplicate from DiffusionArtco/AnimeTop50
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/AnimeTop50
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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="Abyss OrangeMix", 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', 'AbyssOrangeMix-AfterDark','Anime Pencil Diffusion', 'Anygen', 'Anything Diffusion', 'Anything v3', 'anything_v4_inpainting', 'Arcane Diffusion', 'BPModel', 'Counterfeit', 'Cyberpunk Anime Diffusion', 'CyriousMix', 'DGSpitzer Art Diffusion', 'Dreamshaper', 'DucHaiten Classic Anime', 'Eimis Anime Diffusion', 'Ghibli Diffusion', 'GuoFeng', 'Hentai Diffusion', 'Kenshi', 'Midjourney Diffusion', 'NeverEnding Dream', 'Openniji', 'Pastel Mix', 'Protogen Anime', 'Rev Animated'], label="Model", default="Abyss OrangeMix"),
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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="Anime 50",
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description="<center>Top Anime Models in one place</center>",
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examples=[])
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interface.launch()
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