Instructions to use flax/Tron-Legacy-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Tron-Legacy-diffusion 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/Tron-Legacy-diffusion", 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:
- 8cc9dbc047273bc92c41ca6c794a84252d2bfb33bbeb13272dd10e5940dbc2b6
- Size of remote file:
- 492 MB
- SHA256:
- d17ac7671d59d86069d684951c0794887856493cb76dbfc998065f881e12b083
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