Instructions to use KAPPA66/sectorSaveBox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KAPPA66/sectorSaveBox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KAPPA66/sectorSaveBox") prompt = "sectorSaveBox" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 814e93fd463c68060b5d6c04eafba3b8355dae08eab150883b2276c8dd7fc4b8
- Size of remote file:
- 172 MB
- SHA256:
- 29c61c198a2dbd13f1892b8dc46b766ddaa75dfedd0c936b7b996de900ffb5c5
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