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Kohya S
2024-09-14 22:37:26 +09:00
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@@ -213,10 +213,12 @@ When network_args is not specified, the default value (`network_dim`) is applied
|single_dim|linear1 and linear2 in SingleStreamBlock| |single_dim|linear1 and linear2 in SingleStreamBlock|
|single_mod_dim|modulation in SingleStreamBlock| |single_mod_dim|modulation in SingleStreamBlock|
`"verbose=True"` is also available for debugging. It shows the rank of each layer.
example: example:
``` ```
--network_args "img_attn_dim=4" "img_mlp_dim=8" "txt_attn_dim=2" "txt_mlp_dim=2" --network_args "img_attn_dim=4" "img_mlp_dim=8" "txt_attn_dim=2" "txt_mlp_dim=2"
"img_mod_dim=2" "txt_mod_dim=2" "single_dim=4" "single_mod_dim=2" "img_mod_dim=2" "txt_mod_dim=2" "single_dim=4" "single_mod_dim=2" "verbose=True"
``` ```
You can apply LoRA to the conditioning layers of Flux by specifying `in_dims` in network_args. When specifying, be sure to specify 5 numbers in `[]` as a comma-separated list. You can apply LoRA to the conditioning layers of Flux by specifying `in_dims` in network_args. When specifying, be sure to specify 5 numbers in `[]` as a comma-separated list.