Instructions to use Gemneye/ZOE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/ZOE 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("Gemneye/ZOE") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Adding Wan22 Image LoRAs
Browse files
Zoe-Wan22-High-Noise.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:042452571a5f7354c948ef73112bae51073b0d34cf7c7e6c2730a1fc32bc66e6
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Zoe-Wan22-Low-Noise.safetensors
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oid sha256:354808e335047f0b30fc0b3db7225dd3ea1111097d07480b6e9de5b2787728b3
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size 153450640
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