Clothing colors
Change the jacket to cobalt blue. Keep the fabric texture, face and pose unchanged.
BluePixel Turbo · AI photo editing
Upload a photo, describe the change, download a sharp result up to 4K.
8 free credits, no card
Upload your photo in the editor. Enter to continue; Shift + Enter for a new line.
Explore editing promptsOne photo, one clear instruction, a new version to download.
Open the editor and add the photo you want to change.
Say what to edit in one sentence, and what should stay the same.
Pick 1K, 2K or 4K, run the edit and download your result.
Start with a specific instruction. Copy a prompt or take it straight into the editor.
Change the jacket to cobalt blue. Keep the fabric texture, face and pose unchanged.
Replace the background with a quiet seaside scene. Keep the person and match the lighting.
Turn the daylight into warm dusk light, with soft shadows. Keep the composition unchanged.
Remove the cup from the table and fill the space with matching wood grain. Keep everything else unchanged.
Change the curtains to white linen and add a small plant by the window. Keep the furniture in place.
Edit in your browser. Skip the 36 GB+ model download and CUDA setup required for local BluePixel weights.
Choose the size for the job: 1K costs 4 credits, 2K 6, and 4K 9 per edit.
Continue from the last result with another instruction. Find earlier versions in your history whenever you need them.
Get 8 credits when you sign up, then pay per edit. Credits are returned when generation fails.
The research behind the name
BluePixel is vivo’s image-editing research project. Its inference code was released on 13 October 2026, followed by the paper on 14 October. BluePixel-Turbo is a four-step SATP-distilled checkpoint built on FLUX.2-klein-9B and DCAE-F64 for native 4K image editing.
On 3 November 2026, vivo released the v2 checkpoint (ckpt35). The release replaces the transformer weights and is described as an intermediate checkpoint without additional post-training. The sources below describe the published research model.
Local inference needs a CUDA environment with BF16 support. Use vivo’s published inference code and its Diffusers 0.36 API requirements. Download the checkpoint from Hugging Face with the command below.
hf download openvivo/BluePixel-TurboThe repository is labeled Apache-2.0, but its NOTICE places the FLUX.2 Klein base model under the FLUX Non-Commercial License. Check the applicable terms before commercial self-hosting.
Read the inference code on GitHubBluePixel-Turbo is vivo’s four-step, native-4K image-editing model that takes a photo and a text instruction describing the change. See vivo’s project page for the research model.
Sign up to receive 8 free credits. A 1K edit costs 4 credits, so you can try two 1K edits without a payment card. Paid plans are available when you need more credits.
Open the editor and upload your photo. Describe the change in one sentence. Choose 1K, 2K or 4K, run the edit, then download the result.
The online editor offers 1K, 2K and 4K output. Each edit costs 4, 6 or 9 credits respectively; check the selected resolution before starting.
The checkpoint is on Hugging Face at openvivo/BluePixel-Turbo. The inference code and setup instructions are in the vivo/BluePixel GitHub repository. Our download guide brings the links and requirements together.
Use CUDA with BF16 support and dependencies compatible with the Diffusers 0.36 API. Enable vae_tiling (--vae-tiling) if memory is tight. vivo has not published a minimum VRAM requirement.
T8mars/Comfyui-BluePixel-T8 provides third-party nodes. They are not published by vivo, and we have not tested this workflow. Review that repository’s requirements and instructions before trying it.
This concerns the downloadable weights: the repository and model card say Apache-2.0, while the NOTICE specifies the FLUX Non-Commercial License for the FLUX.2 Klein base model. Verify all applicable terms before commercial deployment; we do not determine licensing rights for you.
vivo has not published a hosted BluePixel API. The published inference code can be used for self-hosting, subject to its requirements and licenses. This website does not offer a BluePixel model API.
No. This is an independent third-party website, not the official BluePixel site, and it is not affiliated with vivo.
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