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:
- 0bc78be2aacfa00ee08c5b3f6f2ff32f3c5cd5bdd255131bbe3923214fc3392e
- Size of remote file:
- 1.39 GB
- SHA256:
- 6d594c7736feb8ca106cc0cd85e4ca5c5bc56170c5942a0e30903754142ec6c4
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