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
- Draw Things
- DiffusionBee
- Xet hash:
- 2f4d0a6b643d1d33f0ef374780876526b18339a865ce44d7f72e320eb52da0bf
- Size of remote file:
- 2.13 GB
- SHA256:
- 02174c51acd3ff0795caa969467d2b1e814417eb4b36d81027c9e1488d87fc94
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