Instructions to use TrendForge/extra2itra2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TrendForge/extra2itra2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TrendForge/extra2itra2", 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
- Xet hash:
- dc2fdc62dbe447ccb52990400915bffe3ad31117308cbfeb0a344948aba24ff7
- Size of remote file:
- 9.85 MB
- SHA256:
- 927f7de7f11bbd3b2d5ce402e608d97a7649e0921a9601995b044e8efc81e449
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