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H3 Diffusion Model Achieves Lower VRAM Usage, Enabling 8GB Card Compatibility

By PulseAugur Editorial · [1 sources] ·

A Reddit user has benchmarked the H3 diffusion model, demonstrating that it requires significantly less VRAM than anticipated. The tests, conducted at 1376x768 resolution with 243 frames, showed a peak VRAM usage of approximately 7.0–7.4 GiB on an RTX 4070. This indicates that 8GB graphics cards are feasible for running several configurations of the H3 model, with specific optimizations and attention routes detailed for compatibility. AI

IMPACT Optimizations for H3 diffusion model lower VRAM requirements, making it more accessible on consumer hardware.

RANK_REASON User-generated benchmark and optimization guide for a specific AI model's hardware requirements.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

H3 Diffusion Model Achieves Lower VRAM Usage, Enabling 8GB Card Compatibility

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User-generated benchmark and optimization guide for a specific AI model's hardware requirements.
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Zironic ·

    How much VRAM does H3 need? Less than you might think.

    <!-- SC_OFF --><div class="md"><p>I benchmarked the full BF16 H3 FL2VA checkpoint at 1376×768 and 243 frames, about 10.1 seconds at 24 fps.</p> <p>With the lower-memory attention routes, the H3 diffusion block added roughly 5.8–6.3 GiB over idle. On my Windows RTX 4070 system, wh…

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