fix(krea2): make FP8 weights offloadable - #146
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Diffusers group offloading moves tensor wrapper storage without moving comfy-kitchen internal quantized data and scale. This leaves FP8 weights on CPU while activations run on CUDA. Store FP8 data as a native parameter and its scale as a module buffer, then construct the quantized view only for execution.
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@dobbyphus review this |
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Diffusers group offloading moves tensor wrapper storage without moving comfy-kitchen internal quantized data and scale. This leaves FP8 weights on CPU while activations run on CUDA.
Store FP8 data as a native parameter and its scale as a module buffer, then construct the quantized view only for execution.