Instructions to use FirstLast/RealisticVision-LoRA-lidrs-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FirstLast/RealisticVision-LoRA-lidrs-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V5.1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FirstLast/RealisticVision-LoRA-lidrs-4") prompt = "a woman in a lidrs dress" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8b3fe613539b10bfcd060cb8f05f588ce31bd74286b01ece540d9fd1697520dd
- Size of remote file:
- 4.52 MB
- SHA256:
- 403a8cbe9385d16594e74eebdb09be836269d9f603cf3b9b4899080f68f4fae8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.