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
- Draw Things
- DiffusionBee
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]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
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Model tree for Gemneye/Trystan
Base model
Qwen/Qwen-Image