Instructions to use codemanCheng/lora-trained-xl_350 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codemanCheng/lora-trained-xl_350 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codemanCheng/lora-trained-xl_350") prompt = "a photo of sks cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- b57a5ea2162a7e4fdafea3bb9193eceebb5136517c941105d82a385280eca2a2
- Size of remote file:
- 1.54 MB
- SHA256:
- 2fccff9159ae75102e718af2628acc7373b3ac8c1829e170821070c5aa9c498e
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