All workflows

Reviewed guide · no hardware test recorded

Generate images/video

Start with a 512-pixel SDXL-Turbo image workflow in ComfyUI. Video recipes are not yet reviewed.

Version 2026-09-27.1

comfyui-sdxl-turbo · reviewed 2026-09-27 · review due 2026-10-27

Requirements

Total download
Unknown
Host disk
Unknown
Host RAM
Unknown
Per-device VRAM
Unknown
Task details and compatibility

Exact environment sizes and per-device peak memory are not measured. Provider template disk defaults are not a verified requirement.

task
text-to-image
width
512
height
512
batchSize
1
steps
1
cfg
1

Changing task dimensions invalidates a tested-fit claim for a different task. This version has 0 recorded successful runs.

  • ComfyUI: 0.3.60. Core nodes only for the supplied API workflow. ComfyUI Manager is optional; no custom node packages are required.
  • PyTorch and CUDA: version not validated. Provider image changes independently; verify the installed dependency versions and GPU architecture.

Artifacts and prerequisites

sd_xl_turbo_1.0_fp16.safetensors

Revision: 71153311d3dbb46851df1931d3ca6e939de83304

Stability AI model license; review current terms and commercial eligibility. Review the pinned model card and access terms before downloading.

ComfyUI source

Revision: b8730510db30c8858e1e5d8e126ef19eac395560

GPL-3.0. Public source at v0.3.60. Provider template may install a different version; check before use.

NVGPU SDXL-Turbo API workflow

Revision: 2026-09-27.1

MIT. Download and review this workflow. Uses core nodes only; it is not a hardware-tested workflow.

Set up the task

On-demand Pod with the standard ComfyUI template. Blackwell requires a separate template and is outside this recipe.

  1. Open the standard ComfyUI Pod template and select one supported non-Blackwell GPU. Check the environment against the pinned source version; the template itself is mutable.
  2. Download the pinned SDXL-Turbo FP16 checkpoint into the model checkpoint directory. Keep the exact filename used by the supplied workflow.
  3. Review the supplied core-node API workflow, or follow the provider's SDXL-Turbo UI template instructions. Use 512 × 512, one image, one sampling step and CFG 1 for this task.
  4. Queue a trial image and record runtime versions and any failure. Increasing resolution, batch size or using a video model defines a different task.

Cold download, environment setup and model loading are unknown until measured; enter a total startup allowance in the planner.

Save outputs and shut down

  1. Save generated images and the exact workflow JSON.
  2. Export outputs and verify local files before stopping or deleting the Pod.
  3. Review the selected disk's persistence and continuing charges in the lifecycle panel.

NVGPU does not provision, stop or delete resources.

Plan before you launch

Limits and compatibility
  • Reviewed guide and workflow source; no GPU run recorded.
  • Mutable template must be checked against the recipe before launch.
  • Video workloads and Blackwell configurations are not covered by this version.

The provider can update this template independently of the pinned recipe. Check its installed versions before launching.

Sources and review evidence

Official source: Standard versus Blackwell templates, SDXL-Turbo setup and exact provider template destination.

Official source: Pinned checkpoint identity and model card.