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:
- 09099f48748fb8f3f70a4719199ff00b407008c85fb604e881a63ce4eaca9de5
- Size of remote file:
- 246 MB
- SHA256:
- 0580de479d979c217e6bc07399e9311e8d681b3a7dc6548b6a41e2ee673bbe40
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.