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p h3 image
Create sharp 4MP pictures from text with p h3 image, a lightweight open model that finishes each pass in eight steps and runs within 55 GB or ~30 GB GPU memory.
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p h3 image: Built for Lean, Fast Stills
This model repurposes a video architecture for still-image creation, producing realistic frames while using far less compute and storage than the original pipeline.
- From Video Model to Still EngineThe developers kept MiniMax H3's structure and weights, stripped out time-related components, and reduced the overall size by about seven times.
- Eight Sampling PassesEach image requires only 8 inference passes instead of the usual 50, which accounts for the reported fivefold acceleration.
- Open Downloads in Two FormatsAccess 55 GB BF16 weights or a ~30 GB int8 build on Hugging Face, along with a technical report and side-by-side samples.
Running p h3 image in Three Steps
A concise guide to deploying this open-weight model on your own hardware.
p h3 image Capabilities
A breakdown of what this compact open-weight generator does well, based on Pruna's release notes and sample gallery.
Realistic and Editorial Styles
Pruna lists photorealism, documentary and editorial photography, and film stills as the model's strongest use cases.
Handwriting and Short Text
One sample shows a handwritten recipe with mixed pencil and ink strokes, natural-looking misspellings, and a painted-on coffee ring.
One Checkpoint for Generation and Editing
A single checkpoint covers both generation and editing, because the model was adapted rather than trained from scratch.
4MP in About 2.6 Seconds
A four-megapixel still takes roughly 2.6 seconds, while the unmodified H3 route needs 12.4 seconds for the same frame.
Runs on Consumer GPUs
At 55 GB BF16 or ~30 GB int8 against 143 GB for MiniMax H3, it fits hardware the full pipeline cannot.
Stylized Results 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: Common Questions
Answers about this open-weight still generator, covering speed, model size, and available weights.
What foundation does p h3 image use?
It is an adaptation of MiniMax H3, an open video generation model, retuned for still-image generation and editing.
How does its speed compare with MiniMax H3?
Pruna reports about a fivefold gain: sampling drops from 50 steps to 8, bringing a 4MP frame to roughly 2.6 seconds instead of 12.4.
What size is the model, and which GPUs can run it?
MiniMax H3 requires 143 GB; p h3 image is about 55 GB in BF16 and roughly 30 GB in int8, making consumer GPUs viable.
Which styles does p h3 image handle best?
It excels at photorealism, documentary and editorial photography, film stills, graphic styles, and images with short embedded or handwritten text.
Can I download the weights?
Yes. Pruna released them as open weights on Hugging Face, with a technical report and comparison examples on its blog.
Should I trust Pruna's comparisons for production?
They are self-published with hand-picked prompts, so test against Qwen Image, MiniMax H3, or other open models on your own workload first.
Start Creating with p h3 image
Produce 4MP images in eight steps with a 55 GB or ~30 GB model, then compare p h3 image with other open generators in the catalog — no API keys required.