Instructions to use Muapi/mooniverse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mooniverse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/mooniverse") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 551a38bbc5c582064fd7e36efb660f9dea59e11208ea1e8c244089300cce6635
- Size of remote file:
- 112 kB
- SHA256:
- 612623ea02346a1552e1bfcfa576f46a76b7ab1852124f4851bdd9200d7e28bd
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