Text-to-Image
Diffusers
template:sd-lora
image-generation
lora
photo
vintage
analog
historic
Russian
Soviet
style
autochrome
film
history
1900s
template:diffusion-lora
experimental
Instructions to use Norton0924/HistoricColor_Z-image-Turbo-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norton0924/HistoricColor_Z-image-Turbo-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("Norton0924/HistoricColor_Z-image-Turbo-LoRA") prompt = "HST photo of a woman in a room, full height" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload HSTZgen6.webp with huggingface_hub
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