Instructions to use naclbit/trinart_stable_diffusion_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use naclbit/trinart_stable_diffusion_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("naclbit/trinart_stable_diffusion_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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add `scale_factor` to vae config. (#14)
- Add `scale_factor` to vae config. (79540289dfdb3446eebaa8bbd5bdfc72fe760e8d) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>59d57b9
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Add DIffusers weights (#9)
- Add Diffusers weights for trinart2_step60000.ckpt (3ac53b52933af1182c1fb29a61802042dab71cc0)15f8aed