| | --- |
| | library_name: diffusers |
| | pipeline_tag: text-to-image |
| | --- |
| | |
| | This model has been pushed to the Hub using the Diffusers library: |
| | - Repo: https://github.com/Huage001/LinFusion |
| | - Paper: https://huggingface.co/papers/2409.02097 |
| |
|
| | * **Basic Usage of LinFusion:** |
| | ```python |
| | from diffusers import AutoPipelineForText2Image |
| | import torch |
| | |
| | from src.linfusion import LinFusion |
| | from src.tools import seed_everything |
| | |
| | sd_repo = "Lykon/dreamshaper-8" |
| | |
| | pipeline = AutoPipelineForText2Image.from_pretrained( |
| | sd_repo, torch_dtype=torch.float16, variant="fp16" |
| | ).to(torch.device("cuda")) |
| | |
| | linfusion = LinFusion.construct_for(pipeline) |
| | |
| | seed_everything(123) |
| | image = pipeline( |
| | "An astronaut floating in space. Beautiful view of the stars and the universe in the background." |
| | ).images[0] |
| | ``` |
