Instructions to use ednnajom/chloe3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ednnajom/chloe3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ednnajom/chloe3") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Chloe1

- Prompt
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Model description
Chloe1 - Photorealistic portrait LoRA of a beautiful early-20s European girl. Trained on 80+ high-quality photos with various angles, expressions and lighting. Works perfectly at 0.6–0.9 strength on Tongyi-MAI/Z-Image-Turbo and other realistic SDXL checkpoints. No trigger word required.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for ednnajom/chloe3
Base model
Tongyi-MAI/Z-Image-Turbo