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", torch_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:
- f2de83e9dbac0204f5e53902bcfee09dbc088ecbf9d7b7bb61d9e812385aa5a7
- Size of remote file:
- 6.59 MB
- SHA256:
- 9892f9c568c73eef991325c579e846bb60ee560875ec7b2aea80ed09538d6939
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