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Fix attention layers map for SD-2-1-Base #971

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11 changes: 11 additions & 0 deletions stable_diffusion/stable_diffusion/model_io.py
Original file line number Diff line number Diff line change
Expand Up @@ -140,6 +140,17 @@ def map_vae_weights(key, value):
if "to_v" in key:
key = key.replace("to_v", "value_proj")


# Map attention layers in SD-2-1-base:VAE
if "key" in key:
key = key.replace("key", "to_k")
if "proj_attn" in key:
key = key.replace("proj_attn", "out_proj")
if "query" in key:
key = key.replace("query", "query_proj")
if "value" in key:
key = key.replace("value", "value_proj")
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These don't look correct given that they will result in value_proj_proj and query_proj_proj and to_k. Am I missing sth?

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Yeah, I missed that. I didn't check for sdxl turbo. It should be fine now if we first check for query and then for to_q.
Also, why are we not using load_weights here? Doesn't it help with such mapping issues?


# Map the mid block
if "mid_block.resnets.0" in key:
key = key.replace("mid_block.resnets.0", "mid_blocks.0")
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