Instructions to use fancyfeast/bigaspv2-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fancyfeast/bigaspv2-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fancyfeast/bigaspv2-5", 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
- Draw Things
- DiffusionBee
nice. would you upload it to civitai to get more feedback?
#2
by X5R - opened
it has a decent quality equivalent to sdxl, slightly worse than finetuned model based on illustrious.
besides, 40 steps is unnecessary. there is few changes after 20 steps.
fancyfeast changed discussion status to closed