Instructions to use GraydientPlatformAPI/majic-lux2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/majic-lux2 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/majic-lux2", 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:
- 29c1e40d4a5841777177aaedc350bae163f43dfada83ba22bd81f3d5d7a49f98
- Size of remote file:
- 1.72 GB
- SHA256:
- fd7349efa319045e2772cb8dd22a5d0a15afad01bec03249dace26cf034607b4
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