Instructions to use model-hub-nd/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use model-hub-nd/test3 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("model-hub-nd/test3") prompt = "Nymphotic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 692b62331e34ce43fe4eeeaec7e4f2bd3d9231e091e5580a22972b239dff366a
- Size of remote file:
- 492 MB
- SHA256:
- 5a7eb3ef4d57ec21e9e5e01995cfdf79c0e293d1e39b2eb78c6a8e9584d0c3fe
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