Instructions to use NeurixYUFI/Neurix-Mega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeurixYUFI/Neurix-Mega 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NeurixYUFI/Neurix-Mega") prompt = "Cat on bed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ad0a38360dcb071f9966fc4150ba024d61e820cfa25c46d0e5c0fea490350b9e
- Size of remote file:
- 173 MB
- SHA256:
- d31939ed302c71097bb374a94ecb6750fdf688c3e49755b7b649f05f988bf012
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.