Instructions to use codemanCheng/lora-trained-xl_400_prior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codemanCheng/lora-trained-xl_400_prior 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_400_prior") prompt = "a photo of sks cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from codemanCheng/lora-trained-xl_400_prior: direct link, hf CLI and curl.
- Browser
- Download file 1.5 MB
-
https://huggingface.co/codemanCheng/lora-trained-xl_400_prior/resolve/main/image_2.png
- Command line
-
hf download hf://codemanCheng/lora-trained-xl_400_prior/image_2.png
-
curl -L -o image_2.png https://huggingface.co/codemanCheng/lora-trained-xl_400_prior/resolve/main/image_2.png
1.5 MB

- Xet hash:
- d504b1383c7d5306be109c31ff52a864f3c13b2f0c38aa2da90f41d61aa81780
- Size of remote file:
- 1.5 MB
- SHA256:
- e730b6646444b619b3b3bfa764008fc44c6ecfc73d7c7b5a297dbf75e59e3225
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.