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", torch_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b40b15dcefe5827b3a259a14a806364fc754d35971dcd2b7ff7a584b68bd25a4
- Size of remote file:
- 335 MB
- SHA256:
- f6693a84ff4a2892b2e332ff5a6c658d32b44753788d79617edb92887b6a7498
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