Instructions to use bdsqlsz/SDXL-Consists-Model-Lora-Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bdsqlsz/SDXL-Consists-Model-Lora-Collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bdsqlsz/stable-diffusion-xl-anime-5.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bdsqlsz/SDXL-Consists-Model-Lora-Collection") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload Hyper-SDXL-12steps-CFG-lora_rank1.safetensors
Browse files
Hyper-SDXL-12steps-CFG-lora_rank1.safetensors
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version https://git-lfs.github.com/spec/v1
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size 12641880
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