Instructions to use digiplay/7pa-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/7pa-VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/7pa-VAE", 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
Model info:
Author : LotusSnacks
https://civitai.com/models/13468?modelVersionId=15869
this version baked 84000VAE
NoVAE version:
AIARTCHAN/7pa
https://huggingface.co/AIARTCHAN/7pa
Other model from the Author: [CoffewithLotus] https://tensor.art/models/701383986661892674
Sample prompt and image generated by Huggingface's API :
1girl ultra-detailed outdoor 4k masterpiece, clear lines,
sky Angel wings 4k 8k masterpiece realistic light rainbow paint outerspace stars
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