Instructions to use NxtHuman/adb1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NxtHuman/adb1 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("NxtHuman/adb1") prompt = "adb1 style illustration of a wild cat stalking its prey" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fe3dacab4880f60b8b13cfbe5f1f42cdfd590631146b31f9cc824e775d384eca
- Size of remote file:
- 153 MB
- SHA256:
- a6e33e247e487e7842de20321c13d55f673831da2c8d77a1a12d8cdbd8b55fc1
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