Turn one image into 3D Gaussian Splats with TripoSplat.Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning - you still choose inputs, prompts, and settings.<h3 id="open-preloaded-workflow-on-runcomfy">Open preloaded workflow on RunComfy</h3><a target="_blank" rel="ugc" href="https://www.runcomfy.com/comfyui-workflows/triposplat-image-to-3d-gaussian-splats-workflow-in-comfyui-image2model?utm_source=civitai&amp;utm_medium=referral">Open preloaded workflow on RunComfy (browser)</a>Why RunComfy first - Fewer missing-node surprises - run the graph in a managed environment before you mirror it locally. - Quick GPU tryout - useful if your local VRAM or install time is the bottleneck. - Matches the published JSON - the zip follows the same runnable workflow you can open on RunComfy.When downloading for local ComfyUI makes sense - you want full control over models on disk, batch scripting, or offline runs.How to use (local ComfyUI) 1. Load inputs (images/video/audio) in the marked loader nodes. 2. Set prompts, resolution, and seeds; start with a short test run. 3. Export from the Save / Write nodes shown in the graph.Expectations - First run may pull large weights; cloud runs may require a free RunComfy account.<hr /><h3 id="overview">Overview</h3>This ComfyUI workflow helps you turn a single image into a realistic 3D Gaussian Splat model ready for visualization or export. It automates background removal, depth conditioning, and splat rendering for efficient production. SPZ export and orbit-preview video are generated instantly. The workflow supports mesh conversion and runs smoothly with native TripoSplat integration. Perfect for designers creating 3D assets from minimal inputs.Important nodes:<h2 id="key-nodes-in-comfyui-triposplat-image-to-3d-gaussian-splats-workflow">Key nodes in ComfyUI TripoSplat image to 3D Gaussian Splats workflow</h2><ul><li><code>VAEDecodeTripoSplat</code> (#55)</li><li>Decodes diffusion latents into a full 3D Gaussian Splats representation. The <code>num_gaussians</code> control governs density and memory use. Higher values create denser splats and smoother silhouettes but take longer and require more VRAM; start modestly and scale until coverage and detail meet your needs.</li><li><code>KSampler</code> (#6)</li><li>Drives TripoSplat inference using the conditioning and initial latent. Adjust <code>seed</code> for new structural variations from the same image. Keep other sampler choices stable while you evaluate changes in foreground extraction and subject composition.</li><li><code>TripoSplatConditioning</code> (#24)</li><li>Builds the vision guidance that makes single‑image 3D feasible by combining DINO features with a VAE latent. Good results depend on a clean, centered subject and a mask that excludes busy backgrounds.</li><li><code>RenderSplat</code> (#75)</li><li>Renders the resulting splats to images for the preview turntable. Tune output size for the balance between crispness and speed, and use the camera info input from <code>CreateCameraInfo</code> (#79) to control orbit style.</li><li><code>SplatToMesh</code> (#76)</li><li>Converts the Gaussian representation to a polygonal mesh for GLB export. Expect lower fine detail than native splats; treat this as a convenience path when your target toolchain requires meshes.</li></ul><h3 id="notes">Notes</h3>TripoSplat image to 3D Gaussian Splats workflow in ComfyUI | Image2Model - see <a target="_blank" rel="ugc" href="https://www.runcomfy.com/comfyui-workflows/triposplat-image-to-3d-gaussian-splats-workflow-in-comfyui-image2model?utm_source=civitai&amp;utm_medium=referral">RunComfy page</a> for the latest node requirements.

TripoSplat image to 3D Gaussian Splats workflow in ComfyUI | Image2Model

Initial release - TripoSplat-3D-Gaussian-Splats.

Files with SHA256: 442286756d736d67fb9aa589ffa959845b43fd8e51623c3817d4c96626813cf3