---
title: PixelModel v6
emoji: 🖼️
colorFrom: yellow
colorTo: indigo
sdk: gradio
sdk_version: 6.22.0
app_file: app.py
short_description: 155M-parameter MMDiT text-to-image model
python_version: "3.12"
startup_duration_timeout: 30m
---

# PixelModel v6

A 155M-parameter text-to-image diffusion transformer (MMDiT) that generates 256×256 images using rectified flow sampling. Features joint attention over T5 text tokens and CLIP pooled conditioning.

## Model details

- **Architecture:** MMDiT with joint attention, 2D RoPE, QK-norm, SwiGLU
- **Parameters:** 155M trainable (411M total incl. frozen VAE + text encoders)
- **Text encoders:** T5-base (joint stream) + CLIP ViT-B/32 (global adaLN)
- **VAE:** `madebyollin/sdxl-vae-fp16-fix`
- **Resolution:** 256×256
- **Sampling:** 50 steps, CFG 3.0

Based on [bench-labs/PixelModel-v6](https://huggingface.co/bench-labs/PixelModel-v6).