Instructions to use SpiderSteeped/nets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/nets 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("SpiderSteeped/nets") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 32688a9846a659988a10f09c0672c9d0b0b4d1712e2e3e828f37c5df1a8ed8bb
- Size of remote file:
- 19.3 MB
- SHA256:
- eb6547ee680a4db94f32f6de52449d66d9b71f3ad67402737affa8762858a39b
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