Instructions to use Quorlen/Z-Image-Turbo-Behind-Reeded-Glass-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quorlen/Z-Image-Turbo-Behind-Reeded-Glass-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("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Quorlen/Z-Image-Turbo-Behind-Reeded-Glass-Lora") prompt = "Act1vate! a cat, behind reeded glass" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Z Image Turbo Behind Reeded Glass

- Prompt
- Act1vate! a cat, behind reeded glass
- Negative Prompt
- blurry ugly bad

- Prompt
- Act1vate! a dog, behind reeded glass
- Negative Prompt
- blurry ugly bad

- Prompt
- Act1vate! a clown, behind reeded glass
- Negative Prompt
- blurry ugly bad

- Prompt
- Act1vate! a frog, behind reeded glass
- Negative Prompt
- blurry ugly bad

- Prompt
- Act1vate! a photograph of a woman sitting on a train as seen from the perspective from the outside looking at the train window, the woman is behind reeded glass
- Negative Prompt
- blurry ugly bad

- Prompt
- Act1vate! a photograph of a real dragon attacking a castle behind reeded glass
- Negative Prompt
- blurry ugly bad
Model description
Recommended LoRA is step 750 Allows for generating images of scenes behind reeded glass. Best template to follow to activate the affect is Act1vate!, {prompt} behind reeded glass
Trigger words
You should use Act1vate! to trigger the image generation.
You should use Behind reeded glass to trigger the image generation.
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Model tree for Quorlen/Z-Image-Turbo-Behind-Reeded-Glass-Lora
Base model
Tongyi-MAI/Z-Image-Turbo