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:
- ad69c0afef529b49ada12bc8cf45131c89e0882ed73ff2c0b159616913b4cf2c
- Size of remote file:
- 224 MB
- SHA256:
- b3df5bf26fa6e250c5a452127afbc6454dd704ff5a43dc91a68ac3eb9b556b92
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