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:
- a8b2c7bf2f4034e4f413d162554c5216b7e7e0f3979fe3f4727e24cdca147ddd
- Size of remote file:
- 472 kB
- SHA256:
- 57b7f952a7ad0a1079267256f1d8b06c1a4f978a055cc28a5ce8b24d13f60db3
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