Instructions to use Muapi/lightning-hyper-8step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/lightning-hyper-8step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/lightning-hyper-8step") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- bb3c6345fc84920847055ea3b09957881870a39dc7ed4c5a8e83f54416fbe1e8
- Size of remote file:
- 411 kB
- SHA256:
- ef1e200c90a718e7b255c817ea7a245e1ad6e418ac8c5deec87ac76161a2c0f4
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