Instructions to use yunkis/QquynV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yunkis/QquynV1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yunkis/QquynV1") prompt = "A photo of Qquyn. Action shot of Qquyn playing their favorite sport" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Qquyn

- Prompt
- A photo of Qquyn. Action shot of Qquyn playing their favorite sport
Trigger words
You should use Qquyn to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for yunkis/QquynV1
Base model
black-forest-labs/FLUX.1-dev