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
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license: apache-2.0
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license: apache-2.0
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This is a copy of [trinart_stable_diffusion_v2](https://huggingface.co/naclbit/trinart_stable_diffusion_v2) ported for use with the (diffusers)[https://github.com/huggingface/diffusers]) library.
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All credit for this model goes to [naclbit](https://huggingface.co/naclbit).
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