Open house invitation clip: MiniMax H3 Max, 8 seconds at 768p

A listing photo to an 8-second 16:9 open-house invitation with minimax-h3-max on Sume costs $0.80 at 768p, $0.50 at 480p and $1.60 at 1080p.

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An 8-second 16:9 open-house clip from one listing photo is a minimax-h3-max job at $0.80 for 768p, $0.50 at 480p and $1.60 at 1080p on Sume. H3 Max accepts 5 to 15 seconds at 480p, 768p and 1080p (Video Router, read 2026-10-05).

What do I send?

Use the front-of-house photo as the first frame and ask for a slow, honest camera move. Put the date, time and address in an overlay on your own template, because the clip should not be the source of facts.

curl -X POST https://api.sume.com/v1/videos \
  -H "Authorization: Bearer $SUME_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minimax-h3-max","prompt":"Slow push-in toward the front door, afternoon sun, gentle breeze in the trees","duration":8,"resolution":"768p","aspect_ratio":"16:9","frame_images":[{"type":"image_url","image_url":{"url":"https://example.com/listing-front.jpg"},"frame_type":"first_frame"}]}'

What are the price steps?

Native renders are 480p and 768p. 1080p is a latent refinement from the 768p render and is priced higher per second than 768p.

minimax-h3-max, 16:9, Sume price per clip (read 2026-10-05)
Length480p768p1080p
5 seconds$0.31$0.50$1.00
8 seconds$0.50$0.80$1.60
12 seconds$0.75$1.20$2.40

How do I poll and download the result?

A submit returns 202 with id, polling_url, status and model. Poll GET /v1/videos/{id} until status is completed (the other terminal values are failed and cancelled), then download from GET /v1/videos/{id}/content?index=0 with the same bearer key. H3 Max makes stereo audio on every clip; trim or detach it if you do not want it.

curl https://api.sume.com/v1/videos/JOB_ID -H "Authorization: Bearer $SUME_API_KEY"
curl -L "https://api.sume.com/v1/videos/JOB_ID/content?index=0" \
  -H "Authorization: Bearer $SUME_API_KEY" --output clip.mp4

What do I check on a 1080p image-to-video clip?

Look at the first few frames of any 1080p image-to-video result before you use it, as covered in H3 Max 1080p latent refinement.

Sources

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