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
- Draw Things
- DiffusionBee
- Xet hash:
- b3ee173285de2746abeb3520663620ec6b2e374dda03c67dd51774e617ba8bee
- Size of remote file:
- 246 MB
- SHA256:
- ac00511bd0cf7cbd0901f1aa6f7f6fecd63059f09ca93c5901e60215df7e8086
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