Attention mask for transformer flux #10051
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yiyixuxu
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Dec 1, 2024
| @@ -1762,7 +1762,9 @@ def __call__( | |||
| query = apply_rotary_emb(query, image_rotary_emb) | |||
| key = apply_rotary_emb(key, image_rotary_emb) | |||
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| hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False) | |||
| hidden_states = F.scaled_dot_product_attention( | |||
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i see you added this to F.scaled_dot_product_attention
but just wonder how would this help? it is currently not passing down from the flux transformer to attenton_processor
diffusers/src/diffusers/models/attention.py
Line 190 in c96bfa5
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Unused params
attention_maskin transformer flux attention processors is useful to reweight prompt or image prompt.Fixes #10025
@yiyixuxu @sayakpaul