Optimized solution for low graphics memory device operation
For the problem of insufficient video memory, it is recommended to usephased approach strategy::
- Be sure to enable CPU uninstallation when installing: add to code
pipe.enable_model_cpu_offload() - Using half-precision mode: Setting
torch_dtype=torch.bfloat16Reduces 40% video memory footprint - Reduce the output resolution: temporarily use 512×512 to test the effect
- Chunked Rendering with Comfy UI: Segmenting Images with Nodal Workflows
Even with an RTX 2060 (6GB) graphics card, image generation can still be accomplished by the above method, with a single generation time of about 3-5 minutes.
This answer comes from the articleFLUX.1 Krea: Free Open Source Tool for Generating Highly Realistic ImagesThe
May not be reproduced without permission:AI productivity tools " How to optimize FLUX.1 Krea for low graphics memory GPU devices?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil