Instructions to use ByteDance/Hyper-SD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/Hyper-SD 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("ByteDance/Hyper-SD") 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
Download Hyper-SD15-12steps-CFG-lora.safetensors from ByteDance/Hyper-SD: direct link, hf CLI and curl.
- Browser
- Download file 269 MB
-
https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-12steps-CFG-lora.safetensors
- Command line
-
hf download hf://ByteDance/Hyper-SD/Hyper-SD15-12steps-CFG-lora.safetensors
-
curl -L -o Hyper-SD15-12steps-CFG-lora.safetensors https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-12steps-CFG-lora.safetensors
269 MB
- Xet hash:
- 3446b939d995ae9c4d90007531ef3db2e64decae5b0d24b313c4ac4e63095e4f
- Size of remote file:
- 269 MB
- SHA256:
- 64b98437383537cd968fda6f87a05c33160ece9c79ff4757949a1e212ff78361
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.