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DDPM-IP (CelebA)
About DDPM-IP (CelebA)
DDPM-IP (CelebA) is an AI model developed by Utrecht University, in the language category, released in 2023, made available as an open-weights model with 0.3B params.
On this page you'll find DDPM-IP (CelebA)'s full specifications. Review provider pricing and benchmark scores below, or compare DDPM-IP (CelebA) head-to-head with other language models.
Links
Run DDPM-IP (CelebA) locally — what to buy
Share this build ↗Sized to what DDPM-IP (CelebA) actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is DDPM-IP (CelebA)? ▶
DDPM-IP (CelebA) is an AI model developed by Utrecht University, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DDPM-IP (CelebA)? ▶
DDPM-IP (CelebA) was developed by Utrecht University and released in 2023.
Is DDPM-IP (CelebA) open source or proprietary? ▶
DDPM-IP (CelebA) ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does DDPM-IP (CelebA) cost? ▶
Pricing for DDPM-IP (CelebA) depends on the provider. See the providers table on this page for the latest API rates.
How does DDPM-IP (CelebA) perform on benchmarks? ▶
Benchmark scores for DDPM-IP (CelebA) are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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