Instructions to use AF552/Atetermira with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AF552/Atetermira with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AF552/Atetermira") prompt = "Ok5 Character" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Atetermira

- Prompt
- Ok5 Character
- Negative Prompt
- Bad anatomy
Model description
Character LoRA for testing and local rendering pipeline
Trigger words
You should use ok5_w to trigger the image generation.
Download model
Download them in the Files & versions tab.
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