Instructions to use nphSi/Z-Image-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nphSi/Z-Image-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,Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nphSi/Z-Image-Lora") prompt = "Alexandra Chando (vrtlAlexandraChando)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL Raw²diance-V2 Turbo now available for Snapdragon 8gen3+ devices on Local Dream (Android)
#48
by nphSi - opened
Local Dream (https://github.com/xororz/local-dream) Model for Snapdragon 8 Gen3+:
Use Settings of Raw²diance-V2 Turbo.
Credits to Yuui Kurata (https://huggingface.co/YuuiKurata)
Ps. Do not use the Playstore version of Local Dream. Its censored.
nphSi changed discussion title from Raw²diance-V2 Turbo now available for Snapdragon 8gen3+ devices on Local Dream (Android) to SDXL Raw²diance-V2 Turbo now available for Snapdragon 8gen3+ devices on Local Dream (Android)
