mirror of
https://github.com/comfyanonymous/ComfyUI.git
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1688 lines
38 KiB
JSON
1688 lines
38 KiB
JSON
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"this is based on a 16 gb rx 6800 -the gpu isn't important vram is- with 32gb sys ram\n-------------------------------------------------------------------------------------\nwanvideo block swap : lets you offload some of the model into system ram instead of ram. basically the models are 40 blocks in this case, so a value of 20 loads half of it into the system ram. for single frame image generation and something like 512x384x33 or 41 .. 15 is enough. you would have to raise it to avoid getting out of memory or huge slowdowns, 20 and when you go something like 832x480x81 for example, 25. you can go higher, but the higher you go the slower the generation will be albeit it will not crash at least.\n\ntorch compile : the settings here work with the latest default installation of comfyui-zluda it makes something like 10-15 percent difference for me. the first time you run a model in a comfy run it compiles then it won't. even then it is not so slow.\n\nwanvideo model loader : the settings here are best for the e5m2 model I recommend. If you use e4m3fn or other this settings here will show errors and also torch.compile won't really work (on amd unless you got the latest gpu, e5m2 is best -not quality wise mind you, speedwise)\n\nksamplers (high_noise - low_noise) : you enter the same step on both, and divide it into two parts, equal ideally, so like 3-3 or 4-4 (6 and 8 steps and recommended for use with lightning loras with wan 2.2) If you want to divide something like 2-4 or 3-5 (with 8 steps of course) you have to enter this number in end_step in ksampler 1 (high_noise) and start step in ksampler 2 (low_noise). CFG must be 1. Best scheduler is euler. \n\nvideo enchancements group : you can delete or disable them, these are things people have used that I incorporated from other workflows. You can try with and without them keeping the seed same, so you can see the difference. These effects the output. But not the speed.\n\nwanvideo decode : these settings are what I found the best for 16gb vram gpu's , we have to use tiled one way or another , but instead of using the default values these values drop the vae decoding time exactly in half compared to the default values here. "
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