Instructions to use ostris/vae-kl-f8-d16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/vae-kl-f8-d16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/vae-kl-f8-d16", 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
Use with other models/loras/adapters
#7
by shachargluska - opened
Hi,
I wonder if you have any advice for using this decoder with other base models (e.g. realistic), loras and ip adapters.
For instance, will it be possible to use this decoder with h94/IP-Adapter-FaceID?
Is there some finetuning I should run to improve the results of such combinations?