Instructions to use ayan4m1/trinart_diffusers_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ayan4m1/trinart_diffusers_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ayan4m1/trinart_diffusers_v2", 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:
- cbccd93db7022b57b15411115a36cf46160f557364e353817e46d83e27a0542e
- Size of remote file:
- 3.44 GB
- SHA256:
- 1e8b9c4bcf8efcee568d38aa09a3f1d7da7406a49943dd9bbd62b549182ed778
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