Instructions to use aigrils2/majicv6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aigrils2/majicv6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aigrils2/majicv6", torch_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:
- 7644671690d1d0c445ddc8a0a87c9659eee07090b904a5b94f9f0793bbf53363
- Size of remote file:
- 335 MB
- SHA256:
- 8ff72838e15f1493183f2eb69e7cf3d166935e6982a66ee9c3103fbe266a3c86
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.