Instructions to use ARTHAS247/gp-zimage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ARTHAS247/gp-zimage 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("ARTHAS247/gp-zimage") prompt = "The scene is a close-up featuring a woman's vulva, the subject is filmed from below. The subject is a woman with red hair, she is nude and has a ring on her finger. She is moving her fingers slowly across her wet labia. The scene shows pussy play. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
God Pussy_z-image_base
.webp)
- Prompt
- The scene is a close-up featuring a woman's vulva, the subject is filmed from below. The subject is a woman with red hair, she is nude and has a ring on her finger. She is moving her fingers slowly across her wet labia. The scene shows pussy play.
Model description
Retrain of https://civitai.com/models/1955914/wan-22-godpussy for Zimage Turbo. It was trained for 8000 steps using the AIToolkit and the de-destiled model. It came out ok-ish, but not great. Version 2.0 might follow in the future if there is interest in it.
Captions were done with JoyCaption.
Download model
Download them in the Files & versions tab.
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Model tree for ARTHAS247/gp-zimage
Base model
Tongyi-MAI/Z-Image-Turbo