Instructions to use zai-org/CogView3-Plus-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/CogView3-Plus-3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/CogView3-Plus-3B", 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:
- 640016d3ecf28b6ba4e79d0fb41d2763ecce4948a2c581fb6d476506442bf04f
- Size of remote file:
- 812 MB
- SHA256:
- 40aabe789e1591a3a3d8a2f598eda99f60a42275c410e7292a714b5270b97747
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.