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
| 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 | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `neiro` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/creatorchain/Neiro/tree/main) them in the Files & versions tab. | |