Instructions to use Gemneye/Trystan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Trystan 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("Gemneye/Trystan") prompt = "Tryst@n a man, white background, medium shot, modeling clothing, studio lighting, white backdrop" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Trystan.png
text: >-
Tryst@n a man, white background, medium shot, modeling clothing, studio
lighting, white backdrop
base_model: Qwen/Qwen-Image
instance_prompt: Tryst@n
license: apache-2.0
Trystan

- Prompt
- Tryst@n a man, white background, medium shot, modeling clothing, studio lighting, white backdrop
Model description
Trained on AI toolkit
Trigger words
You should use Tryst@n to trigger the image generation.
Download model
Download them in the Files & versions tab.