Type a name, or just describe what you need. Results blend keyword and meaning-based search. 12 matches, each with an EU availability status.
Model · Nvidia
NVIDIA pixel-diffusion decoder that turns latents into 2K–4K images, replacing VAE decode plus a separate upscaler.
Nvidia research model that understands and generates images and video directly in pixel space, with no VAE or vision encoder.
Model
Feed-forward single-image relighting model with physically based light control, using intrinsic conditioning from a coarse 3D scene.
Image-to-3D generator from Tsinghua and Tencent ARC Lab that builds meshes pixel-aligned to the input view.
Rank-asymmetric flow method for pixel-space image generation, incl. AsymFLUX.2 klein finetuned from FLUX.2 klein 9B.
Pixel-space text-to-image diffusion model transferred from latent diffusion models, without a VAE, supporting 4K output.
App · Google
Google image creation and editing app built on Nano Banana, with object-level edits and Docs, Slides and Drive integration.
Model · Google
Google's 2B-parameter Gemma 2 instruction-tuned model, repackaged as a text encoder for PixelDiT and PiD workflows in ComfyUI.
Google's small open embedding model that maps text, code, images, video and audio into a shared embedding space.
Model · Linum AI
2B-parameter pixel-space text-to-image diffusion model from Linum AI, trained from scratch for about $21K; Apache 2.0.
Model · Sperid Labs
Open 3B-parameter text-to-image flow-matching model that generates directly in pixel space, without a VAE.
Model · SenseTime
Open-weights 8B image generation and editing model from SenseTime that works in pixel space without a VAE.