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README.md
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@@ -18,12 +18,15 @@ Here we give an example model fine-tuned using 5 images of a cat downloaded from
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```python
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from diffusers import StableDiffusionPipeline
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device = 'cuda'
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model_id =
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to(device)
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prompt = "<new1> cat swimming in a pool"
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images = pipe(prompt, num_inference_steps=200, guidance_scale=6., eta=1.).images
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```
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```python
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from diffusers import StableDiffusionPipeline
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from src import diffuser_training
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device = 'cuda'
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model_id = "CompVis/stable-diffusion-v1-4"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to(device)
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diffuser_training.load_model(pipe.text_encoder, pipe.tokenizer, pipe.unet, 'custom_diffusion_cat.bin')
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prompt = "<new1> cat swimming in a pool"
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images = pipe(prompt, num_inference_steps=200, guidance_scale=6., eta=1.).images
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```
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