Instructions to use dallinmackay/Tron-Legacy-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dallinmackay/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("dallinmackay/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
- Draw Things
- DiffusionBee
- Xet hash:
- 8ba820e8fc83e919a55d14be4ecd1c1f71e5f303ed1ad1cfbb65338af1098404
- Size of remote file:
- 492 MB
- SHA256:
- 101f7e3236edc216f4e16671b81e519da47447b565bcd4150080a2156725cd99
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