Instructions to use flax/anything-v3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/anything-v3.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/anything-v3.0", 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:
- f8bdfdc5b6da69da2d03c7d7b547ae4b6c27ef69b713bf7d47f3cd28323c439d
- Size of remote file:
- 335 MB
- SHA256:
- 6fe7cb2123da6034c8798410108a366657c80970cb04c674afbaa2b2f96f0f7f
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