Instructions to use EnD-Diffusers/lineart-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/lineart-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/lineart-model", dtype=torch.bfloat16, device_map="cuda") prompt = "mchozn" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b6d07e223e4736cfda017914554cdc55a9912482779cccc0afce0b7137b08043
- Size of remote file:
- 3.44 GB
- SHA256:
- 83948ce78afcd2fe5e7550eec7c401004dfb1e1826e7040ab65835e0be20a5fc
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