Instructions to use CrystalAcorn/Sagev2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CrystalAcorn/Sagev2-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma1-Base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CrystalAcorn/Sagev2-lora") prompt = "Sag3" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0472091f01ee2ad5ece3435ce0f5d1de78a57a248c3d30e468b0d4e915a0c8c4
- Size of remote file:
- 224 MB
- SHA256:
- bf6d3fc64150ed9f8c766b71f27ed552fb2e0ae6bb3c16cc9c3a40529284c4bb
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