Instructions to use axingd/lora-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axingd/lora-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("axingd/lora-test") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
display-test

- Prompt
- -
Model description
test
Trigger words
You should use test to trigger the image generation.
You should use ssss to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for axingd/lora-test
Base model
black-forest-labs/FLUX.1-dev