Instructions to use nnndite/v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nnndite/v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nnndite/v1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 815 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ComfyUI_00075_.png
text: '-'
base_model: Phr00t/Qwen-Image-Edit-Rapid-AIO
instance_prompt: 阴茎
license: apache-2.0
---
# qwen-edit_阴茎_v1.safetensors
<Gallery />
## Model description
提示词:阴茎,消除男人的衣服,全裸着,男人勃起着的阴茎,龟头头部两瓣中间,阴茎下方有阴囊,阴茎周围长阴毛,保持皮肤颜色不变,保持动作不变,保持场景不变,保持光影细节不变,保持表情不变,
推荐权重:1
使用qwen-image-edit-rapid-AIO_v16以上版本的底模
## Trigger words
You should use `阴茎` to trigger the image generation.
## Download model
[Download](/nnndite/v1/tree/main) them in the Files & versions tab.
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