Instructions to use misri/noobaiXLNAIXL_vPred10Version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/noobaiXLNAIXL_vPred10Version with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/noobaiXLNAIXL_vPred10Version", 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:
- 1f88f123a10e5d84917cb82bf81e165e4b5a07760f5d7eebf3ecd007a623da3a
- Size of remote file:
- 7.11 GB
- SHA256:
- ea349eeae87ca8d25ba902c93810f7ca83e5c82f920edf12f273af004ae02819
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