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
- Draw Things
- DiffusionBee
- Xet hash:
- a448be2cc5ce0a81fb4f4dbd5138f2f0e903762c06d1061d434d99cf0ed36190
- Size of remote file:
- 9.6 MB
- SHA256:
- d69b49464efe33ac91b9f35f1b82f0204fea37554458ec5101670582479deb87
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