Topaz Video Upscale

topaz/upscale/video

Upscale Video is Topaz Labs's video-to-video AI model. Transform, enhance, and edit video content using text prompts - from style changes to object manipulation and scene modification.

Base price
$0.05 / run
Execution
async
Model type
video
Input fields
9

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Playground

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Input
URL of the video to upscale
01
Noise reduction level (0.0-1.0). Default varies by model. Range: 0 to 1.
14
Factor to upscale the video by (e.g. 2.0 doubles width and height) Range: 1 to 4.
01
Halo reduction level (0.0-1.0). Default varies by model. Range: 0 to 1.
01
Compression artifact removal level (0.0-1.0). Default varies by model. Range: 0 to 1.
00.1
Film grain amount (0.0-0.1). Default varies by model. Range: 0 to 0.1.
01
Recover original detail level (0.0-1.0). Higher values preserve more original detail. Range: 0 to 1.
1660
Target FPS for frame interpolation. If set, frame interpolation will be enabled. Range: 16 to 60.
Whether to use H264 codec for output video. Default is H265.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price
$0.05 / run
Billing formula
Math.max((usage.duration ?? 0.0), 5.0) * (((usage.width ?? 0.0) * (usage.height ?? 0.0)) <= 0.0 ? 0.08 : ((usage.width * usage.height) <= 921600.0 ? 0.01 : ((usage.width * usage.height) <= 2073600.0 ? 0.02 : 0.08))) * ((usage.fps ?? (params.target_fps ?? 30.0)) >= 60.0 ? 2.0 : 1.0) * ((params.model ?? "") == "Gaia 2" ? 0.5 : 1.0)

Context & modalities

Input
Schema-defined
Output
video

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
Topaz Labs
Model ID
topaz/upscale/video
Execution
async
API
Unified Run API
Endpoint
/v1/run

API README

Topaz Video Upscale

topaz/upscale/video is documented for video to video tasks in the upscale family.

topaz/upscale/video can use the documented H264 output to produce the documented result for video to video tasks within the upscale family.

Highlights

  • topaz/upscale/video is documented for video to video tasks in the upscale family.
  • topaz/upscale/video can use the documented H264 output to produce the documented result for video to video tasks within the upscale family.

Pricing

  • Local price formula: Math.max((usage.duration ?? 0.0), 5.0) * (((usage.width ?? 0.0) * (usage.height ?? 0.0)) <= 0.0 ? 0.08 : ((usage.width * usage.height) <= 921600.0 ? 0.01 : ((usage.width * usage.height) <= 2073600.0 ? 0.02 : 0.08))) * ((usage.fps ?? (params.target_fps ?? 30.0)) >= 60.0 ? 2.0 : 1.0) * ((params.model ?? "") == "Gaia 2" ? 0.5 : 1.0)

Technical Specs

  • Model ID: topaz/upscale/video
  • Request fields: H264_output (boolean, optional); compression (number, optional, min 0, max 1); grain (number, optional, min 0, max 0.1); halo (number, optional, min 0, max 1); noise (number, optional, min 0, max 1); recover_detail (number, optional, min 0, max 1); target_fps (integer, optional, min 16, max 60); upscale_factor (number, optional, min 1, max 4); video (string, optional)
  • Required fields: none marked required
  • Output fields: content_type (string, optional); url (string, required)
  • Execution mode: async

When to Use

  • Choose topaz/upscale/video when the upscale workflow needs video to video tasks.
  • Use topaz/upscale/video in the upscale workflow for projects with the documented H264 output that require generated output.

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Endpoint
https://api.sandbase.ai/v1/run
Model ID
topaz/upscale/video
# Preserve Unicode and shell metacharacters in the request body.
result=$(printf '%s' 'ewogICJtb2RlbCI6ICJ0b3Bhei91cHNjYWxlL3ZpZGVvIiwKICAidmlkZW8iOiAiaHR0cHM6Ly9zdGF0aWMuc2FuZGJhc2UuYWkvZXhhbXBsZXMvdG9wYXovdXBzY2FsZS92aWRlby9pbnB1dF92aWRlb18wLm1wNCIsCiAgIkgyNjRfb3V0cHV0IjogZmFsc2UsCiAgInVwc2NhbGVfZmFjdG9yIjogMgp9' \
  | base64 --decode \
  | curl --fail-with-body --silent \
      -X POST "https://api.sandbase.ai/v1/run" \
      -H "Authorization: Bearer $SANDBASE_API_KEY" \
      -H "Content-Type: application/json" \
      --data-binary @-)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

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Topaz Labs———Mar 4, 2025