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
Add DIffusers weights
#9
by anzorq - opened
Hi @naclbit ,
Great model! This PR adds weights for the diffusers library (converted from trinart2_step60000.ckpt), to make the model compatible with the StableDiffusionPipeline.
I'd love to add this model to my demo space: https://huggingface.co/spaces/anzorq/finetuned_diffusion
anzorq changed pull request status to open
naclbit changed pull request status to merged
Thanks!