Instructions to use marcdemory/SDXL-lora-MADeMory-v1-0-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marcdemory/SDXL-lora-MADeMory-v1-0-2 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/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("marcdemory/SDXL-lora-MADeMory-v1-0-2") prompt = "photo of a MADeMory person" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
LoRA DreamBooth - marcdemory/SDXL-lora-MADeMory-v1-0-2
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on photo of a MADeMory person using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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Model tree for marcdemory/SDXL-lora-MADeMory-v1-0-2
Base model
stabilityai/stable-diffusion-xl-base-1.0