Low Video Memory Optimization Solution Explained
DiffSynth-Engine offers three ways to reduce video memory requirements:
- CPU offload technology: set in the FLUX model code
offload_mode="sequential_cpu_offload"Can reduce 23GB video memory requirement to 4GB - Quantitative model selection: Supports quantization precision such as FP8/INT8, e.g. q8_0 (7-12GB) or q4_k_s (lower)
- parameterization: Reduce resolution (width/height), reduce num_inference_steps, etc.
Examples of specific operations: Modify the initialization parameters of the FLUX pipeline to take effect:
pipe = FluxImagePipeline.from_pretrained(config, offload_mode="sequential_cpu_offload", quant="q4_k_s").eval()
Note: Low video memory mode extends the 20-50% generation time, it is recommended to balance speed and quality according to the task.
This answer comes from the articleDiffSynth-Engine: Open Source Engine for Low-Existing Deployments of FLUX, Wan 2.1The
May not be reproduced without permission:AI productivity tools " How can I reduce the amount of video memory used when running DiffSynth-Engine?
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