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 image_3.png from TE2G/cache-coeur: direct link, hf CLI and curl.
- Browser
- Download file 1.91 MB
-
https://huggingface.co/TE2G/cache-coeur/resolve/main/image_3.png
- Command line
-
hf download hf://TE2G/cache-coeur/image_3.png
-
curl -L -o image_3.png https://huggingface.co/TE2G/cache-coeur/resolve/main/image_3.png
1.91 MB

- Xet hash:
- 36ac2d836c2be6cd22ca6ea26a3e9b44c18e5aa6d44e044aeb5f730aac1ce12c
- Size of remote file:
- 1.91 MB
- SHA256:
- 2bf732911852c9a74aecff621f4ba8128f2ed373f363eefa25c4d7a9976f9bac
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