Instructions to use aegon-h/SDXL-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aegon-h/SDXL-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("FFusion/FFXL400", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aegon-h/SDXL-LORA") prompt = "your prompt " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
SDXL-LORA
- Model creator: FFusion
- Original model: 400GB-LoraXL
Description
This repo contains files for FFusion's 400GB-LoraXL.
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Model tree for aegon-h/SDXL-LORA
Base model
diffusers/stable-diffusion-xl-base-1.0 Quantized
FFusion/FFusionXL-BASE Finetuned
FFusion/FFXL400