Instructions to use tensor-diffusion/anythingV5-Ink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensor-diffusion/anythingV5-Ink with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensor-diffusion/anythingV5-Ink", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 52eecba9107e88b479ecf180568d6c8707bca3a8955b4c37fb482a3f4eaad55f
- Size of remote file:
- 246 MB
- SHA256:
- 55e594aa776787f5a648de3871e6ff5f05e3fe8c4946f5527e204749f9d8808b
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