Instructions to use crybit/eoASq5fecNlcPyDP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crybit/eoASq5fecNlcPyDP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("crybit/eoASq5fecNlcPyDP", 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:
- aaf2596be581e676caba31a0f7229fd70648d1832320829a9c3680b7ede823c0
- Size of remote file:
- 1.39 GB
- SHA256:
- 8a0d55a94e8508c869f35163fb6fcf34e02ea1b614d9259b47f97c562cff9575
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