Instructions to use olesheva/Realistic_Men_Candid_Qwen_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use olesheva/Realistic_Men_Candid_Qwen_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("olesheva/Realistic_Men_Candid_Qwen_LoRA") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Realistic Men Candid Photo style LoRA
.png)
- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -
Model description
new LoRA for realism images with focus in men (dataset only with men, i know some of you are tired of women), but it also works with any realistic context.
no trigger word, no nsfw in dataset, but you can add any lora for it.
i use onetrainer for train, 90 epochs.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 12
Model tree for olesheva/Realistic_Men_Candid_Qwen_LoRA
Base model
Qwen/Qwen-Image