Instructions to use creatorchain/Neiro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/Neiro 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("creatorchain/Neiro") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/SA3a6wGVI460Xr-n72Vw6_80b3e5f7af7047b08ff306d26ebb6021.jpg
- text: '-'
output:
url: images/5S4prUmcXhmYqgHQio069_3b03e41b727b45778dbf89985275d2ab.jpg
- text: '-'
output:
url: images/9wfN7LOIoD2CNS29CQry3_804b1ed64a4e44dc8a814a956f512a3b.jpg
- text: '-'
output:
url: images/COsn4ic3bYug3HrJkvUFY_59d05d79c19b4f94b1ef33318bc9a14b.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: neiro
license: apache-2.0
neiro

- Prompt
- -

- Prompt
- -

- Prompt
- -

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