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@@ -24,17 +24,6 @@ All credit for the model architecture and weights goes to NVIDIA Research. This
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- ## Gallery — IP-Adapter style transfer (SigLIP only, no text prompt)
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- | ![](assets/gallery/01_cyber_soldier.jpg) | ![](assets/gallery/02_neon_goth.jpg) | ![](assets/gallery/03_demon_queen.jpg) | ![](assets/gallery/04_punk_girl.jpg) | ![](assets/gallery/05_void_entity.jpg) |
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- | ![](assets/gallery/06_rain_alley.jpg) | ![](assets/gallery/07_ink_mask.jpg) | ![](assets/gallery/08_retro_city.jpg) | ![](assets/gallery/09_dream_goddess.jpg) | ![](assets/gallery/10_cosmic_entity.jpg) |
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- > All generated with [`madtune/pixeldit-controlnet`](https://huggingface.co/madtune/pixeldit-controlnet) — IP-Adapter only, zero text conditioning.
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  ## What is PixelDiT?
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  PixelDiT is a 1.3B parameter **pixel-space** diffusion transformer — no VAE, generates images directly in pixel space. Runs on **4GB VRAM**.
 
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  ## What is PixelDiT?
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  PixelDiT is a 1.3B parameter **pixel-space** diffusion transformer — no VAE, generates images directly in pixel space. Runs on **4GB VRAM**.