Instructions to use SG161222/RealVis_Medium_1.0b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/RealVis_Medium_1.0b 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/RealVis_Medium_1.0b", 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:
- f9ef149e5e87f02d99303a99ac5fffa114dbe7f8c50378716c3fb8373261b8a6
- Size of remote file:
- 1.62 MB
- SHA256:
- 7f6fb7ce8423be054f516c14fba96a6702047bfaaa7fa4a29fbe8e3c71343cca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.