Instructions to use GraydientPlatformAPI/coco2ill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/coco2ill 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/coco2ill", 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:
- 2ea7a76b96d9e1aa5a4ede41fc411732ba91b67cdb5e2da32dc17a85e3ac653f
- Size of remote file:
- 1.39 GB
- SHA256:
- 668f426a0fe9729e11814e37ffb7e1b889c68d7d85664284998c07a8ec81a287
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.