Create README.md
#2
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Pokernights2022
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README.md
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from diffusers import StableDiffusionPipeline
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import torch
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modelieo=['nitrosocke/Arcane-Diffusion',
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'dreamlike-art/dreamlike-diffusion-1.0',
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'nitrosocke/archer-diffusion',
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'Linaqruf/anything-v3.0',
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'nitrosocke/mo-di-diffusion',
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'nitrosocke/classic-anim-diffusion',
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'dallinmackay/Van-Gogh-diffusion',
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'wavymulder/wavyfusion',
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'wavymulder/Analog-Diffusion',
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'nitrosocke/redshift-diffusion',
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'prompthero/midjourney-v4-diffusion',
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'hakurei/waifu-diffusion',
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'DGSpitzer/Cyberpunk-Anime-Diffusion',
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'nitrosocke/elden-ring-diffusion',
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'naclbit/trinart_stable_diffusion_v2',
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'nitrosocke/spider-verse-diffusion',
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'Fictiverse/Stable_Diffusion_BalloonArt_Model',
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'dallinmackay/Tron-Legacy-diffusion',
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'lambdalabs/sd-pokemon-diffusers',
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'AstraliteHeart/pony-diffusion',
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'nousr/robo-diffusion']
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def TextToImage(Prompt,model):
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model_id = model
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cpu")
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prompt = Prompt
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image = pipe(prompt).images[0]
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return image
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