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
Commit History
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update fp32 safetensors (#49)
Verified signature- update fp32 safetensors (ef3e3221eb684d6145c2c4e14985eb61949d45da) Co-authored-by: Yanzuo Lu <Yanzuo@users.noreply.huggingface.co>00dcb3f -
add SD3 CFG loras (#48)
Verified signature- add SD3 CFG loras (f8e06e4398019b571c5798d20f36e74c092c67d9) Co-authored-by: Yanzuo Lu <Yanzuo@users.noreply.huggingface.co>d62366f