Instructions to use Gemneye/Tamra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Tamra 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/Tamra") prompt = "T@mara a women sitting at a cafe with a cup of coffee in her hand wearing a benie" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Tamara

- Prompt
- T@mara a women sitting at a cafe with a cup of coffee in her hand wearing a benie
Model description
Trained with AI Toolkit
Trigger words
You should use T@mara to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Gemneye/Tamra
Base model
Qwen/Qwen-Image