Instructions to use zac/Turbo_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zac/Turbo_Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zac/Turbo_Lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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images/ComfyUI_temp_bqrnl_00006_.png
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Git LFS Details
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sd_xl_turbo_lora_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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size 787342192
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