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

- Xet hash:
- be5d6868b6f4ad5627ec25d1901e3f073b6caad63e980c6a9a9f637560b672c2
- Size of remote file:
- 1.63 MB
- SHA256:
- 55dad02553ac1cd3a8b2690863a901f448b37b55906793ac83d2643b012ed033
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