add img2img diff
Browse files- app.py +16 -1
- requirements.txt +4 -0
app.py
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import gradio as gr
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import gradio as gr
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import torch
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from diffusers import StableDiffusionImg2ImgPipeline
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# load the pipeline
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device = "cpu"
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model_id_or_path = "runwayml/stable-diffusion-v1-5"
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# model_id_or_path = "shanetx/stable-diffusion-wtx-app"
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img2img_pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float16)
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img2img_pipe = img2img_pipe.to(device)
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def img2img_diff(prompt, img):
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return img2img_pipe(prompt=prompt, image=img, strength=0.75, guidance_scale=7.5).images[0]
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gr.Interface(fn=img2img_diff, inputs=['text', 'image'], outputs='image')
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requirements.txt
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torch
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diffusers
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transformers
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accelerate
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