prunaai/z-image-turbo-lora 🔢📝❓ → 🖼️
About
Lora version of Z-Image Turbo, which is a super fast text-to-image model of 6B parameters developed by Tongyi-MAI.
Example Output
Prompt:
"t3chnic4lly vibrant 1960s close-up of a woman sitting under a tree in a blue skit and white blouse, she has blonde wavy short hair and a smile with green eyes lake scene by a garden with flowers in the foreground 1960s styl;e film She's holding her hand out there is a small smooth frog in her palm, she's making eye contact with the toad."
Output
Performance Metrics
2.39s
Prediction Time
2.40s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "t3chnic4lly vibrant 1960s close-up of a woman sitting under a tree in a blue skit and white blouse, she has blonde wavy short hair and a smile with green eyes lake scene by a garden with flowers in the foreground 1960s styl;e film She's holding her hand out there is a small smooth frog in her palm, she's making eye contact with the toad.",
"lora_scales": [
1
],
"lora_weights": [
"https://huggingface.co/renderartist/Technically-Color-Z-Image-Turbo/resolve/main/Technically_Color_Z_Image_Turbo_v1_renderartist_2000.safetensors"
],
"output_format": "jpg",
"guidance_scale": 0,
"output_quality": 80,
"num_inference_steps": 8
}
Input Parameters
- seed
- Random seed. Set for reproducible generation
- width
- Width of the generated image
- height
- Height of the generated image
- prompt (required)
- Text prompt for image generation
- lora_scales
- Scales for each LoRA as an array of floats. Must match the number of lora_weights. Defaults to 1.0 for each if not provided.
- lora_weights
- LoRA weights as an array of URLs. Supports .safetensors URLs, tar files, and zip files (e.g., ['https://example.com/lora1.safetensors', 'https://example.com/lora2.safetensors'])
- output_format
- Format of the output images
- guidance_scale
- Guidance scale. Should be 0 for Turbo models
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- num_inference_steps
- Number of inference steps. This actually results in (num_inference_steps - 1) DiT forwards
Output Schema
Output
Example Execution Logs
Using cached processed LoRA for: https://huggingface.co/renderartist/Technically-Color-Z-Image-Turbo/resolve/main/Technically_Color_Z_Image_Turbo_v1_renderartist_2000.safetensors Loaded LoRA 1: https://huggingface.co/renderartist/Technically-Color-Z-Image-Turbo/resolve/main/Technically_Color_Z_Image_Turbo_v1_renderartist_2000.safetensors Set adapters: ['lora_0'] with weights: [1.0] 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.42it/s] 22%|██▏ | 2/9 [00:00<00:01, 5.15it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.79it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.63it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.55it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.50it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.48it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.45it/s] 100%|██████████| 9/9 [00:01<00:00, 4.44it/s] 100%|██████████| 9/9 [00:01<00:00, 4.54it/s]
Version Details
- Version ID
197b2db2015aa366d2bc61a941758adf4c31ac66b18573f5c66dc388ab081ca2- Version Created
- December 4, 2025