Instructions to use glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2 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("glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2") prompt = "A girl in corner and in background text reads \"OpenAI or Google\" $wap_kukilineartz" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download samples/1759764269514__000000500_0.jpg from glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2/resolve/main/samples/1759764269514__000000500_0.jpg
- Command line
-
hf download hf://glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2/samples/1759764269514__000000500_0.jpg
-
curl -L -o 1759764269514__000000500_0.jpg https://huggingface.co/glif-loradex-trainer/Swap_agrawal14_kuki_lineart_v2/resolve/main/samples/1759764269514__000000500_0.jpg
114 kB

- Xet hash:
- 1833726676e440a99bfa47a4483ce41fb718f54b48ea04aca839d6092de65e82
- Size of remote file:
- 114 kB
- SHA256:
- 65a84dc304fc7891715fa43221185a596878b3b55a2fcfd5d9354a078a5ed669
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