Instructions to use sengstacken/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sengstacken/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("sengstacken/test") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
output:
url: images/1724265203500__000001500_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: in the style of TOC
my_first_flux_lora_v1

- Prompt
- -
Trigger words
You should use in the style of TOC to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.