Instructions to use chloeloras/chloeg-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chloeloras/chloeg-lora 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("chloeloras/chloeg-lora") prompt = "same person as reference image, low angle shot, camera positioned below face looking up, chin slightly raised, dramatic perspective but realistic proportions, studio lighting, photorealistic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
chloeg-lora

- Prompt
- same person as reference image, low angle shot, camera positioned below face looking up, chin slightly raised, dramatic perspective but realistic proportions, studio lighting, photorealistic
- Negative Prompt
- none
Model description
Personal LoRA for Chloeg character. Trained on 30 images at 3000 steps.
Trigger words
You should use chloeg to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for chloeloras/chloeg-lora
Base model
Tongyi-MAI/Z-Image-Turbo