Instructions to use madebyollin/taesdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madebyollin/taesdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("madebyollin/taesdxl", 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
The config attributes {'shift_factor': 0.0, 'upsample_fn': 'nearest'} were passed to AutoencoderTiny, but are not expected and will be ignored. Please verify your config.json configuration file.
1
#4 opened over 1 year ago
by
TanDD
getting "Error occurred when executing VAEDecode: 'VAE' object has no attribute 'vae_dtype' " in comfyui
1
#3 opened about 2 years ago
by
patientxtr
In-between model?
9
#2 opened about 2 years ago
by
paul-stamets