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:
- f91df7963c141701584eafada3cea4395683fbc646f669cd4eb784695597a362
- Size of remote file:
- 1.72 GB
- SHA256:
- c5225787b2f8285113310b2584a93bf05168091519eeb6a99af7ac92fbeeb510
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