Instructions to use TE2G/cache-coeur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TE2G/cache-coeur 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/cache-coeur") prompt = "A photo of cache-coeur knit pullover on a mannequin or torso" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from TE2G/cache-coeur: direct link, hf CLI and curl.
- Browser
- Download file 9.6 MB
-
https://huggingface.co/TE2G/cache-coeur/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://TE2G/cache-coeur/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TE2G/cache-coeur/resolve/main/checkpoint-2000/optimizer.bin
9.6 MB
- Xet hash:
- cb7a679c0be3a0b5b98c190c2b69961e4735b90fcbb06433193c2a9c0bff3b8e
- Size of remote file:
- 9.6 MB
- SHA256:
- e0faa08bf545fa7eaf160a281c3fb926b3507eb9d24c1dc99e81592ebaa062c9
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