Instructions to use recoilme/ae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use recoilme/ae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("recoilme/ae", 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
Upload ae2_tags.zip with huggingface_hub
Browse files- ae2_tags.zip +3 -0
ae2_tags.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f3df9650d127ee5e009d9aae7bc83185a178defd68bad67a301aeb580cc2d0d
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size 2272282990
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