Instructions to use naclbit/trinart_characters_19.2m_stable_diffusion_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use naclbit/trinart_characters_19.2m_stable_diffusion_v1 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_characters_19.2m_stable_diffusion_v1", 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. (#12)
- Add `scale_factor` to vae config. (779115a86cc967a841e9e1cd79d968faab36acf7) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>f45e4b1
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Add Diffusers weights (#10)
- Add Diffusers weights (c1d77b18bc73b4f8f708331f07cc8c2c42b23a9a) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>0117d7d