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
- Draw Things
- DiffusionBee
upload flux-related 16-step and 8step loras
#51
by Yanzuo - opened
Hyper-FLUX.1-dev-16steps-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6461f67dfc1a967ae60344c3b3f350877149ccab758c273cc37f5e8a87b5842e
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Hyper-FLUX.1-dev-8steps-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0ab0fdf569cd01a382f19bd87681f628879dea7ad51fe5a3799b6c18c7b2d03
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size 1388026440
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