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| from diffusers import StableDiffusionPipeline | |
| import torch | |
| modelieo=['nitrosocke/Arcane-Diffusion', | |
| 'dreamlike-art/dreamlike-diffusion-1.0', | |
| 'nitrosocke/archer-diffusion', | |
| 'Linaqruf/anything-v3.0', | |
| 'nitrosocke/mo-di-diffusion', | |
| 'nitrosocke/classic-anim-diffusion', | |
| 'dallinmackay/Van-Gogh-diffusion', | |
| 'wavymulder/wavyfusion', | |
| 'wavymulder/Analog-Diffusion', | |
| 'nitrosocke/redshift-diffusion', | |
| 'prompthero/midjourney-v4-diffusion', | |
| 'hakurei/waifu-diffusion', | |
| 'DGSpitzer/Cyberpunk-Anime-Diffusion', | |
| 'nitrosocke/elden-ring-diffusion', | |
| 'naclbit/trinart_stable_diffusion_v2', | |
| 'nitrosocke/spider-verse-diffusion', | |
| 'Fictiverse/Stable_Diffusion_BalloonArt_Model', | |
| 'dallinmackay/Tron-Legacy-diffusion', | |
| 'lambdalabs/sd-pokemon-diffusers', | |
| 'AstraliteHeart/pony-diffusion', | |
| 'nousr/robo-diffusion'] | |
| def TextToImage(Prompt,model): | |
| model_id = model | |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
| pipe = pipe.to("cpu") | |
| prompt = Prompt | |
| image = pipe(prompt).images[0] | |
| return image | |
| import gradio as gr | |
| interface = gr.Interface(fn=TextToImage, | |
| inputs=["text", gr.Dropdown(modelieo)], | |
| outputs="image", | |
| title='Text to Image') | |
| interface.launch() |