metadata
license: apache-2.0
pipeline_tag: text-to-image
tags:
- text-to-image
- image-generation
- yandex
Alice AI ART dev
by Yandex
Alice AI ART dev is 4.8B parameter diffusion UNet model capable of generating images from text prompts.
Key features
- Relevance A considerable amount of work was done to improve text-to-image alignment. According to the Side-by-Side evaluation, our model is competitive with Qwen-Image, despite being significantly smaller (4.8B parameters vs 20B parameters).
- Aesthetics Our model is capable of generating high-quality images with a wide range of styles and themes.
- Accessibility Alice AI ART dev is runnable on consumer-grade[^1] GPUs (for instance, NVIDIA RTX 3090) making it accessible to a wider audience.
[^1] with weight offloading
Usage
The image generation pipeline can be loaded a follows
pipe = YandexArtOSPipeline.from_pretrained(
"yandex_art_os",
cpu_offload=True
)
For memory-constrained GPUs we recommend to turn on cpu_offload flag:
By default we use following sampling parameters:
{
"num_inference_steps": 32,
"cond_scale": 2.75,
"unet_switch_timestep": 8,
"karras_rho": 6.0,
"method_name": "dpm-multistep",
"sampler_kwargs": {
"num_train_timesteps": 1000,
"beta_start": 0.00001013,
"beta_end": 0.019771934,
"use_karras_sigmas": True,
"algorithm_type": "sde-dpmsolver++"
}
}