Instructions to use AIARTCHAN/AbyssMapleVer3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/AbyssMapleVer3 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/AbyssMapleVer3", torch_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
- Xet hash:
- 715b1a365b87ae841a670ba3597b23d2d71ff475fc85f56506796c0728bc11c5
- Size of remote file:
- 335 MB
- SHA256:
- f3c9d55d6b0a6e9c0ab48da752936a8b8dc57ae0ed3b4375f970247ee14c18b2
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