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:
- 413c6fb89f0dcd781c2177ee8ae903874b41e05bcb75110300f1b9abd4bbd3dc
- Size of remote file:
- 140 kB
- SHA256:
- fb00390a0493d7e51db5e0f1d9e546d4b8eaac7898da7129728cb62be3cf80c2
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