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-26500/scheduler.bin from TE2G/thin: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/TE2G/thin/resolve/main/checkpoint-26500/scheduler.bin
- Command line
-
hf download hf://TE2G/thin/checkpoint-26500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/TE2G/thin/resolve/main/checkpoint-26500/scheduler.bin
1 kB
- Xet hash:
- 013a6245b79c88a81624a4c4a0fcb96a7b86510c5b76dfdc6e47da701fcbe549
- Size of remote file:
- 1 kB
- SHA256:
- 2bfd96cb19d4d7b4e7a36a483d4ee138c904060b44921fd9f2c43f74ececb9a6
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