Instructions to use Muapi/race-queen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/race-queen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/race-queen") 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:
- 32c21a965ecd0fbbbfc5db8226d7c6e7ca8b0ce09475ebda9e2eac831e501076
- Size of remote file:
- 776 kB
- SHA256:
- 5bcccf96391c23e1233afd1fbc7e02baac4a0d6ac6b11b75139f26d7928498c0
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