Instructions to use GraydientPlatformAPI/indigo-se02-vpred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/indigo-se02-vpred 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/indigo-se02-vpred", 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:
- c6ca02923aa4df98e388c062c4a7dd6eeefae789ae8a99f8b8b0f0403dbff270
- Size of remote file:
- 167 MB
- SHA256:
- 824965dee30b6379be9b1d9f0f03890ea726db371e8318d3a32ee8ab191ac2fc
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