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