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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 348f79606bb6f3e9c7c9ee79585091b7b780cec4604c7262d1217015ebeac957
- Size of remote file:
- 2.13 MB
- SHA256:
- 5ef57e3920a56f2581c72e7bbcc9434947e227851f753ef949b1c6e4c4dd2bcf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.