Instructions to use TheMistoAI/MistoLine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheMistoAI/MistoLine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheMistoAI/MistoLine", 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:
- 1aad1a1b09f752346c7db1f3ccec70f296dd50d2c2369529c3a32c8233af3554
- Size of remote file:
- 13.5 MB
- SHA256:
- 0451bd82051c9215ccd6c340a268eb854540639b9b577cc3d0710018a8f67933
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.