Instructions to use logits/backpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use logits/backpack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("logits/backpack") prompt = "a photo of sks backpack" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 7782ea54e55c72d9b00eb9be97e291f3fb2b89343fd4c5a01d3021d59b70b1f3
- Size of remote file:
- 608 kB
- SHA256:
- 6166fc191a904f5fb7471d4befc03feef40e293c14ac307790c4c12f9fc576bf
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