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_0.png from codemanCheng/lora-trained-xl_400_prior: direct link, hf CLI and curl.
- Browser
- Download file 1.35 MB
-
https://huggingface.co/codemanCheng/lora-trained-xl_400_prior/resolve/main/image_0.png
- Command line
-
hf download hf://codemanCheng/lora-trained-xl_400_prior/image_0.png
-
curl -L -o image_0.png https://huggingface.co/codemanCheng/lora-trained-xl_400_prior/resolve/main/image_0.png
1.35 MB

- Xet hash:
- e354255bf2a2cb7b0d53c75d1f3edc30d796f334ac0ff6fed554ffc41a89ee4b
- Size of remote file:
- 1.35 MB
- SHA256:
- 27affb9155c7b9c0725a07131ed8d495223126a70ebf012646ec0f472cb7b182
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