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Generative AI · Image generation

Images in 8 steps

Core model parameters 7B generation + 8B encoder

Model files 9.51 GB

A poster from one sentence, with legible Chinese and English text, in 7 aspect ratios, all on the device

  • 1.5K detail
  • Chinese & English text
  • 7 aspect ratios
Get the demo on GitHubComing soon Get the models on Hugging FaceComing soon

Recorded on the board

Screen recording of the board web demo, recorded on Qualcomm QCS8550. (waiting segments sped up)

Highlights

Eight steps per image

A built-in 8-step sampling schedule, nothing to tune.

Readable text in the picture

Titles, signs and labels come out as written, in Chinese and English.

Long prompts in Chinese and English

Short or very detailed: up to 4096 tokens at 512 and 1K, several thousand characters.

7 aspect ratios, 3 sizes

1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16 at 512, 1K and 1.5K, up to 1792 × 1344.

Fully on-device

The text encoder, the diffusion model and the image decoder all run on the board's NPU.

Easy to integrate

A small C API and a Python binding; the same prompt, size and seed give the same image.

Pipeline

From input to output: where every step runs.

  1. 01Browser

    Prompt in

    A description in Chinese or English, with size, aspect ratio and seed

  2. 02NPU

    Text encoder

    Encodes the prompt

  3. 03NPU

    Diffusion

    The diffusion model, 8 denoising steps

  4. 04NPU

    Image decoder

    The VAE decodes the image tile by tile

  5. 05Browser

    Image out

    The image with the time of each stage; download as PNG

Supported hardware

Qualcomm QCS8550Available
Qualcomm QCS8625Coming soon
Qualcomm Dragonwing IQ8Coming soon
Qualcomm Dragonwing IQ9Coming soon
Qualcomm Dragonwing IQ10Coming soon
Core model parameters
7B generation + 8B encoder
Model files
9.51 GB