Instructions to use TE2G/thin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/thin 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-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TE2G/thin") prompt = "A photo of thin knit pullover on a mannequin or torso" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-23500/scaler.pt from TE2G/thin: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/TE2G/thin/resolve/main/checkpoint-23500/scaler.pt
- Command line
-
hf download hf://TE2G/thin/checkpoint-23500/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/TE2G/thin/resolve/main/checkpoint-23500/scaler.pt
988 Bytes
- Xet hash:
- 93fe171fd24f8bf51072f56b2bfd64b4114e0825ae5164eda6a35fe49926e7ea
- Size of remote file:
- 988 Bytes
- SHA256:
- 50357c5ba406a8e353501280042bd35776031778a3ee604ffd97c133a7a0f287
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.