| library_name: peft | |
| pipeline_tag: text-to-image | |
| ```python | |
| from diffusers import DiffusionPipeline | |
| pipe = DiffusionPipeline.from_pretrained("akameswa/lcm-tiny-sd").to("cuda") | |
| prompt = "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k" | |
| image = pipe(prompt=prompt, num_inference_steps=4, guidance_scale=1.0).images[0] | |
| ``` |