Instructions to use liamhvn/InkpunkDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liamhvn/InkpunkDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("liamhvn/InkpunkDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 14925338e0fe2c33edcc219e39bf41ce96f07372da6146688b147565994a0dd0
- Size of remote file:
- 492 MB
- SHA256:
- e0cd341aeb627e02e4e60f224aea23ba8d9f41fc6ecb325ae1f29a02334e8c86
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