Instructions to use MatrixCode/nil01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MatrixCode/nil01 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("MatrixCode/nil01") prompt = "NIL01" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- af33d29d8c488f8180bd5ad81e907592ee00f4941c2f97782af4d5b8b4a7020c
- Size of remote file:
- 687 MB
- SHA256:
- 978751ae339ce845b9134f1e1f4b5f5cd3dffb371cb2b04d7ed42c0c0affe70d
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