13 lines
350 B
Python
13 lines
350 B
Python
import torch
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from MuseVdiffusers import StableDiffusionPipeline
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model_id = "path-to-your-trained-model"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda")
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prompt = "A photo of sks dog in a bucket"
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image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
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image.save("dog-bucket.png")
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