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 Settings
- Draw Things
- DiffusionBee
Download ComfyUI_00389_.png from fancyfeast/bigaspv2-5: direct link, hf CLI and curl.
- Browser
- Download file 1.17 MB
-
https://huggingface.co/fancyfeast/bigaspv2-5/resolve/main/ComfyUI_00389_.png
- Command line
-
hf download hf://fancyfeast/bigaspv2-5/ComfyUI_00389_.png
-
curl -L -o ComfyUI_00389_.png https://huggingface.co/fancyfeast/bigaspv2-5/resolve/main/ComfyUI_00389_.png
1.17 MB

- Xet hash:
- 3adb8f84e74880ab9a62489d7f2331ba8082d3b3ac2ba8633575b39d79695cc5
- Size of remote file:
- 1.17 MB
- SHA256:
- 828797332202607357cc90c068d67adb10b92abd5402a33eba6ff7474ca1aa4d
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