Instructions to use GDavila/sdxl-vermeer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GDavila/sdxl-vermeer 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("GDavila/sdxl-vermeer") prompt = "a painting of a woman in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
sdxl-vermeer

- Prompt
- a painting of a woman in the style of TOK
Trigger words
You should use TOK to trigger the image generation.
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 GDavila/sdxl-vermeer
Base model
stabilityai/stable-diffusion-xl-base-1.0