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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4724c9a5295adf1fe3f366f0a8a2b0349bdb4ce9eaad6b8a91db780dbca2675e
- Size of remote file:
- 3.44 GB
- SHA256:
- 1e354244f207d80eaacd6e4082e03fd76f5371faa9dc51a1e4de16c8d6bed286
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