Instructions to use Luisdure/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luisdure/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("Luisdure/test") prompt = "uni" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from Luisdure/test: direct link, hf CLI and curl.
- Browser
- Download file 448 Bytes
-
https://huggingface.co/Luisdure/test/resolve/main/README.md
- Command line
-
hf download hf://Luisdure/test/README.md
-
curl -L -o README.md https://huggingface.co/Luisdure/test/resolve/main/README.md
448 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: uni
output:
url: images/32dbaf8a-4858-4b25-99eb-5df119e40468.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: apache-2.0
test

- Prompt
- uni
Model description
test
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.