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-SDXL-12steps-CFG-lora.safetensors from ByteDance/Hyper-SD: direct link, hf CLI and curl.
- Browser
- Download file 787 MB
-
https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-12steps-CFG-lora.safetensors
- Command line
-
hf download hf://ByteDance/Hyper-SD/Hyper-SDXL-12steps-CFG-lora.safetensors
-
curl -L -o Hyper-SDXL-12steps-CFG-lora.safetensors https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SDXL-12steps-CFG-lora.safetensors
787 MB
- Xet hash:
- b8ac9aece186fdc25411b7af91f3c88dd2ff085c84fbd557e2ac6769d2de7cdb
- Size of remote file:
- 787 MB
- SHA256:
- 0b97f447b5878323a28fbe7c51ba7acebd21f4d77552ba77b04b11c8911825b6
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