Instructions to use TE2G/MediumThick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/MediumThick 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/MediumThick") prompt = "A photo of Medium Thick knit pullover on a mannequin or torso" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from TE2G/MediumThick: direct link, hf CLI and curl.
- Browser
- Download file 9.6 MB
-
https://huggingface.co/TE2G/MediumThick/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://TE2G/MediumThick/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TE2G/MediumThick/resolve/main/checkpoint-5000/optimizer.bin
9.6 MB
- Xet hash:
- aa48a7a0ad396a3abaae2ed01df36a93c78adee3d29df9c8302d3c0dbae788fc
- Size of remote file:
- 9.6 MB
- SHA256:
- 5de80823a719f9c8184834e76263e5f1d523d10066f8316e1d8039aa65816c98
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