Instructions to use GraydientPlatformAPI/coco-ill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/coco-ill 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/coco-ill", 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:
- c630933f83b86201ae2052d996271edc1ae78c09160e41985729f2c916843463
- Size of remote file:
- 1.39 GB
- SHA256:
- aca96d97cac0d5b667fe64818041bb423fe449724450befcb4b7688f2a06d27b
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