Instructions to use GraydientPlatformAPI/proteus-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/proteus-clip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/proteus-clip", 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:
- 951659fc69fb0a578bf4fb8fc4fe3443d8015c73611b8e16744a32b27d932971
- Size of remote file:
- 1.39 GB
- SHA256:
- d6fa4187be60b2762845648ca94bfddfb9e4ff8bc74762bb734a837425885ef2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.