Instructions to use GraydientPlatformAPI/mjolnir-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/mjolnir-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/mjolnir-xl", 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:
- 8bafda75239c34349c22ba77bbb3f4091b4341e1609e2eb726c6dbe3a8ec4bd3
- Size of remote file:
- 1.39 GB
- SHA256:
- 7f120c542c5e6557d0990af6643f33d0f63f0b7de22a4c09d7c88e9018cb6c0b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.