Instructions to use ModelsLab/RealVisXL_V5.0_Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/RealVisXL_V5.0_Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/RealVisXL_V5.0_Lightning", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b9c40916a3e6f4bd906260c49405faf38d53655996def021e0bbf3a829a44ccd
- Size of remote file:
- 2.78 GB
- SHA256:
- 4b7c9b2c9668d61f13594e9043f7ef75712f952e0621b57c8ffc4d5504e4ab82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.