Instructions to use AIARTCHAN/AbyssHellVer3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/AbyssHellVer3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/AbyssHellVer3", 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 example/002.png from AIARTCHAN/AbyssHellVer3: direct link, hf CLI and curl.
- Browser
- Download file 2.68 MB
-
https://huggingface.co/AIARTCHAN/AbyssHellVer3/resolve/main/example/002.png
- Command line
-
hf download hf://AIARTCHAN/AbyssHellVer3/example/002.png
-
curl -L -o 002.png https://huggingface.co/AIARTCHAN/AbyssHellVer3/resolve/main/example/002.png
2.68 MB

- Xet hash:
- 90e28c13523b148317b3a412a42bbf2201a8af7e8eb5fae91077cab08cf164cf
- Size of remote file:
- 2.68 MB
- SHA256:
- 3eb92bf0f021e965e92ca3e826235aff3a0f2a752eb758f2eb6775a400acae45
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