Instructions to use stqc/kai-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stqc/kai-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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stqc/kai-lora") prompt = "drvex, portrait" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
base_model:
- stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
instance_prompt: drvex
tags:
- lora
- text-to-image
- diffusers
- template:sd-lora
widget:
- text: drvex, portrait
output:
url: prt1.png
- text: drvex, portrait
output:
url: images/example_5ri4r32h2.png