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 SD1.5 code samples as runawayml/stable-diffusion-v-1-5 is deprecated
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Update LICENSE.md (#56)
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upload flux-related 16-step and 8step loras (#51)
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update fp32 safetensors (#49)
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add SD3 CFG loras (#48)
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Upload 12-step SD15/XL CFG LoRAs (#33)
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upload 8-steps CFG-preserve LoRA for SDXL and SD15
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Upload Hyper-SDXL-1step-Unet-Comfyui.fp16.safetensors
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support 1-step unet inference for comfyui
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support 1-step unet inference in comfyui
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upload SDXL loras
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initial commit
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