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-20000/scheduler.bin from TE2G/thin: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/TE2G/thin/resolve/main/checkpoint-20000/scheduler.bin
- Command line
-
hf download hf://TE2G/thin/checkpoint-20000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/TE2G/thin/resolve/main/checkpoint-20000/scheduler.bin
1 kB
- Xet hash:
- aa1927ea5dd1d8294bc846842de559ce26082443e308efe51ae34b31d69deec9
- Size of remote file:
- 1 kB
- SHA256:
- 7f39d7e017fc34bfafdccdd533759b0ee66fb06da04a35a20596996624263edd
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