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p h3 image
p h3 image is Pruna AI's open-weight image model built from MiniMax H3: 8-step rendering, a 4MP image in ~2.6s, and 55 GB weights that fit consumer GPUs.
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Why Use the p h3 image Model
The p h3 image model turns a video backbone into a still-image generator, delivering photoreal frames with a fraction of the compute and file size.
- A Video Backbone, ReusedPruna AI kept MiniMax H3's architecture and weights, removed the temporal parts, and shrank the result sevenfold.
- Eight Steps, Not FiftyEach image renders in 8 inference passes rather than the usual 50, the direct cause of the reported five-fold speedup.
- Open Weights in Two SizesDownload 55 GB BF16 weights or a roughly 30 GB int8 build on Hugging Face, with a technical report and sample comparisons.
How to Use p h3 image
Three practical steps for running the model on your own hardware.
p h3 image Features
What this compact open-weight model is built to do well, based on Pruna's release notes and sample gallery.
Photoreal and Editorial Looks
Photorealism, documentary and editorial photography, and film stills are the styles Pruna names as strongest.
Handwriting and Short Text
One published sample is a handwritten recipe with mixed pencil and ink strokes, believable misspellings, and a painted-on coffee ring.
Generate and Edit in One
One checkpoint handles single-frame generation and image editing, since it was adapted rather than trained fresh.
2.6 Seconds for 4 Megapixels
Pruna times a four-megapixel result at about 2.6 seconds, while the untouched H3 route needs 12.4 seconds for the same frame.
Small Enough for Consumer GPUs
At 55 GB BF16 or ~30 GB int8 against 143 GB for MiniMax H3, it fits hardware the full pipeline cannot.
Stylized Work Beyond Its Size
On an anime robot gardener prompt, Pruna judged its output closer to real anime style than Qwen Image 2.1.
p h3 image — FAQ
Common questions about the p h3 image model, its speed, size, and open weights.
What is p h3 image built on?
It is Pruna AI's adaptation of MiniMax H3, an open video generation model, retuned for still-image generation and editing.
How much faster is it than MiniMax H3?
About five times faster by Pruna's count: the step count falls from 50 to 8, so a four-megapixel frame lands near 2.6 seconds rather than 12.4.
How small is the model, and what hardware does it need?
MiniMax H3 is 143 GB; p h3 image is about 55 GB in BF16 and roughly 30 GB in int8, which puts consumer-grade GPUs within reach.
What does p h3 image do best?
Photorealism, documentary and editorial photography, film stills, graphic styles, and images carrying short embedded or handwritten text.
Are the weights publicly available?
Yes. Pruna published them as open weights on Hugging Face, alongside a technical report and comparison examples on its blog.
Are Pruna's comparisons enough for production?
They are self-published with hand-picked prompts, so benchmark against Qwen Image, MiniMax H3, or other open models on your own workload first.
Try p h3 image for Fast, Compact Stills
Render 4-megapixel images in 8 steps with a 55 GB or ~30 GB footprint, then compare p h3 image with other open models in the catalog — no API keys needed.