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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 55bc3907378a8ef87a97b08fd5b0d9b4f06a9cf79d329a18573812a741b29ab1
- Size of remote file:
- 167 MB
- SHA256:
- fe2ea6eff7809344d99b83f45b268d62db838a01135c30f1553671d3df15b048
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