Instructions to use Rand000mGuy/stringer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/stringer 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("Rand000mGuy/stringer") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from Rand000mGuy/stringer: direct link, hf CLI and curl.
- Browser
- Download file 376 Bytes
-
https://huggingface.co/Rand000mGuy/stringer/resolve/main/README.md
- Command line
-
hf download hf://Rand000mGuy/stringer/README.md
-
curl -L -o README.md https://huggingface.co/Rand000mGuy/stringer/resolve/main/README.md
376 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/0_flux1-dev_117294498541960_117294498541961.webp
text: '-'
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
stringer tank top

- Prompt
- -
Download model
Download them in the Files & versions tab.