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
- Draw Things
- DiffusionBee
CM

- Prompt
- -
Model description
consists LoRA model collection for best performance using SVD resize to rank 1
LCM https://huggingface.co/latent-consistency/lcm-lora-sdxl
Turbo https://huggingface.co/stabilityai/sdxl-turbo
TCD https://huggingface.co/h1t/TCD-SDXL-LoRA
SDXL-lightning https://huggingface.co/ByteDance/SDXL-Lightning
Hyper-SD https://huggingface.co/ByteDance/Hyper-SD
PCM https://huggingface.co/wangfuyun/PCM_SDXL_LoRAs
DMD2 https://huggingface.co/tianweiy/DMD2
SDXL-flash https://huggingface.co/sd-community/sdxl-flash-lora
flash-sdxl https://huggingface.co/jasperai/flash-sdxl
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for bdsqlsz/SDXL-Consists-Model-Lora-Collection
Base model
bdsqlsz/stable-diffusion-xl-anime-V5