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:
- 0c1acc52bff8c5266d0d6cf8272c9ef73cb92b8205f900b13cffac1e60346308
- Size of remote file:
- 787 MB
- SHA256:
- ca689190e8c46038550384b5675488526cfe5a40d35f82b27acb75c100f417c1
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