Instructions to use jessedits/siennalorav2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jessedits/siennalorav2 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("jessedits/siennalorav2") prompt = "dsa" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
dsa

- Prompt
- dsa
- Negative Prompt
- sadasd
Model description
asdds
Trigger words
You should use saddsa to trigger the image generation.
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Base model
Tongyi-MAI/Z-Image-Turbo