Instructions to use goreactdev/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use goreactdev/lora-trained-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("goreactdev/lora-trained-xl") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from goreactdev/lora-trained-xl: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/goreactdev/lora-trained-xl/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://goreactdev/lora-trained-xl/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/goreactdev/lora-trained-xl/resolve/main/checkpoint-500/optimizer.bin
47.4 MB
- Xet hash:
- cecced3e3d515ea37f2de5f24ad1d4c1fe572e4c60e93bf71a634cccf8f03c70
- Size of remote file:
- 47.4 MB
- SHA256:
- 2d60ae638b51dcb618f7936d0adfd2f4a6c137c1a96d4e52abd89753e59a478b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.