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--- |
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library_name: peft |
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tags: |
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- lora |
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--- |
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```py |
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from diffusers import LCMScheduler, StableDiffusionXLPipeline |
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import torch |
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pipe = StableDiffusionXLPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16) |
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pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config) |
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# load and fuse lcm lora |
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pipe.load_lora_weights("latent-consistency/lcm-lora-sdxl") |
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pipe.fuse_lora() |
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# NOTE, you can also optionally load other LoRAs into the model |
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pipe.load_lora_weights("TheLastBen/Papercut_SDXL") |
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pipe.to(device="cuda") |
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prompt = "papercut a fox" # you can replace 'a fox' by other objects, scenes |
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torch.manual_seed(0) |
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# set `guidance_scale=1.0` to disable CFG |
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image = pipe(prompt=prompt, num_inference_steps=4, guidance_scale=1.0).images[0] |
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``` |