Instructions to use bep40/Aodaiv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bep40/Aodaiv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bep40/Aodaiv2") prompt = "Aodai" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
FLUX - AODAI VIETNAM MAP - MDNguyen_Aodai vn map.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a665c1a74860e1bf755cc64312b33260ffafa56152548dc4eccd2c6bcf8ef7a
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size 687476520
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images/1000022810.webp
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Git LFS Details
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