docs: restore quantization overview page

Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com>
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Hongsheng Liu committed 2026-08-06 16:36:16 +08:00
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@@ -60,7 +60,7 @@ Memory optimization methods help reduce GPU memory usage, enabling inference on
| Method | Description | Best For |
|--------|-------------|----------|
| **[CPU Offload](diffusion/cpu_offload.md)** | Offloads model components to CPU memory | Limited VRAM, large models on consumer GPUs |
| **[Quantization](quantization/index.md)** | Reduces transformer stages from BF16 to FP8/INT8/etc. | Limited VRAM, minimal accuracy loss |
| **[Quantization](quantization/overview.md)** | Reduces transformer stages from BF16 to FP8/INT8/etc. | Limited VRAM, minimal accuracy loss |
| **[VAE Parallelism](diffusion/parallelism/vae_parallelism.md)** | Distributes VAE decode work across GPUs | High-resolution generation with reduced VAE memory peak |
### Extensions
@@ -105,7 +105,7 @@ The following tables show which models support each feature:
> Notes:
> 1. CPU Offload has two methods: Module-wise (default for models with DiT + text encoder) and Layerwise. The tables below show **Layerwise support** only. Split models like Cosmos3 (no separate text encoder) swap their reasoner/generator components for module-wise offload; see the [CPU Offload Guide](diffusion/cpu_offload.md).
> 2. The **💾Quantization** column is collapsed for readability. See [Quantization](quantization/index.md) for per-method and per-model support details.
> 2. The **💾Quantization** column is collapsed for readability. See [Quantization](quantization/overview.md) for per-method and per-model support details.
### ImageGen
@@ -276,7 +276,7 @@ Measured on NVIDIA H800:
- **[CPU Offload Guide](diffusion/cpu_offload.md)** - Offload model components to CPU, reduce GPU memory usage
- **[VAE Parallelism Guide](diffusion/parallelism/vae_parallelism.md)** - Distribute VAE decode work across GPUs for high-resolution images and videos
- **[Quantization](quantization/index.md)** - Quantization methods for diffusion, multi-stage omni/TTS, and multi-stage diffusion models
- **[Quantization](quantization/overview.md)** - Quantization methods for diffusion, multi-stage omni/TTS, and multi-stage diffusion models
**Extensions:**