Instructions to use MegaWoman/megawoman-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MegaWoman/megawoman-v2 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("MegaWoman/megawoman-v2") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("MegaWoman/megawoman-v2")
prompt = "-"
image = pipe(prompt).images[0]MegaWoman-V2

- Prompt
- -

- Prompt
- -

- Prompt
- -
Model description
A high-quality photorealistic character LoRA of MegaWoman, a 22-year-old woman with soft youthful feminine face, natural hazel eyes, medium-length auburn red hair, scattered freckles, beauty mark on left jawline, and an extremely impressive feminine muscular physique. Trained on 64 detailed smartphone-style images for maximum consistency and realism.
Trigger word: megawoman
Recommended strength: 0.9–1.0
Trigger words
You should use megawoman to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for MegaWoman/megawoman-v2
Base model
Tongyi-MAI/Z-Image-Turbo