Instructions to use Taka1265/makaria with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Taka1265/makaria 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("Taka1265/makaria") prompt = "1girl, makaria <lora:Makaria:1> bikini_armor, shaped press, masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest, black hair, meadow, pelt, lie" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
makaria

- Prompt
- 1girl, makaria <lora:Makaria:1> bikini_armor, shaped press, masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest, black hair, meadow, pelt, lie
- Negative Prompt
- child, skyrim, big breasts, huge breasts, 3d, white background, leaning,
Download model
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Model tree for Taka1265/makaria
Base model
Tongyi-MAI/Z-Image-Turbo