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--- |
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datasets: |
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- Dipl0/pepe_image_stable_diff |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- pepe |
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--- |
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# How to use |
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***To prompt you can use the following code*** |
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```python |
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from diffusers import StableDiffusionPipeline |
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model_path = "Dipl0/pepe-diffuser" |
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pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16) |
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pipe.to("cuda") |
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prompt = "pepe surfing on the moon" |
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image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0] |
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image.save(prompt.replace(" ","_") + ".png") |
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``` |
