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", 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:
- 0f39f838011f03c4ce9ed58f62a79bfd629c7d7905d031c425ee837a8cb41b61
- Size of remote file:
- 492 MB
- SHA256:
- cdd49c07785e191fe388438d825dae814677d5b156291ca770fa48192d2e7d0c
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