Instructions to use ABGroup2/ImportLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ABGroup2/ImportLora 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("ABGroup2/ImportLora") prompt = "a pink crystal gem suspended in space, frstingln illustration" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from ABGroup2/ImportLora: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/ABGroup2/ImportLora/resolve/main/optimizer.pt
- Command line
-
hf download hf://ABGroup2/ImportLora/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ABGroup2/ImportLora/resolve/main/optimizer.pt
173 MB
- Xet hash:
- 2c1722ec203cdc204f70b0ef33dcd749f47738b6a5ff8dbcef76e1c97e894096
- Size of remote file:
- 173 MB
- SHA256:
- b128713998cedbe441c9cbf9d625e04b75af206fc213608a5de431908a6c8562
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