Skip to content

Support more Wan loras (VACE) #11726

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jun 17, 2025
Merged

Support more Wan loras (VACE) #11726

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
87 changes: 51 additions & 36 deletions src/diffusers/loaders/lora_conversion_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1596,7 +1596,10 @@ def _convert_non_diffusers_wan_lora_to_diffusers(state_dict):
converted_state_dict = {}
original_state_dict = {k[len("diffusion_model.") :]: v for k, v in state_dict.items()}

num_blocks = len({k.split("blocks.")[1].split(".")[0] for k in original_state_dict if "blocks." in k})
block_numbers = {int(k.split(".")[1]) for k in original_state_dict if k.startswith("blocks.")}
min_block = min(block_numbers)
max_block = max(block_numbers)

is_i2v_lora = any("k_img" in k for k in original_state_dict) and any("v_img" in k for k in original_state_dict)
lora_down_key = "lora_A" if any("lora_A" in k for k in original_state_dict) else "lora_down"
lora_up_key = "lora_B" if any("lora_B" in k for k in original_state_dict) else "lora_up"
Expand All @@ -1622,45 +1625,57 @@ def _convert_non_diffusers_wan_lora_to_diffusers(state_dict):
# For the `diff_b` keys, we treat them as lora_bias.
# https://huggingface.co/docs/peft/main/en/package_reference/lora#peft.LoraConfig.lora_bias

for i in range(num_blocks):
for i in range(min_block, max_block + 1):
# Self-attention
for o, c in zip(["q", "k", "v", "o"], ["to_q", "to_k", "to_v", "to_out.0"]):
converted_state_dict[f"blocks.{i}.attn1.{c}.lora_A.weight"] = original_state_dict.pop(
f"blocks.{i}.self_attn.{o}.{lora_down_key}.weight"
)
converted_state_dict[f"blocks.{i}.attn1.{c}.lora_B.weight"] = original_state_dict.pop(
f"blocks.{i}.self_attn.{o}.{lora_up_key}.weight"
)
if f"blocks.{i}.self_attn.{o}.diff_b" in original_state_dict:
converted_state_dict[f"blocks.{i}.attn1.{c}.lora_B.bias"] = original_state_dict.pop(
f"blocks.{i}.self_attn.{o}.diff_b"
)
original_key = f"blocks.{i}.self_attn.{o}.{lora_down_key}.weight"
converted_key = f"blocks.{i}.attn1.{c}.lora_A.weight"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

original_key = f"blocks.{i}.self_attn.{o}.{lora_up_key}.weight"
converted_key = f"blocks.{i}.attn1.{c}.lora_B.weight"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

original_key = f"blocks.{i}.self_attn.{o}.diff_b"
converted_key = f"blocks.{i}.attn1.{c}.lora_B.bias"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

# Cross-attention
for o, c in zip(["q", "k", "v", "o"], ["to_q", "to_k", "to_v", "to_out.0"]):
converted_state_dict[f"blocks.{i}.attn2.{c}.lora_A.weight"] = original_state_dict.pop(
f"blocks.{i}.cross_attn.{o}.{lora_down_key}.weight"
)
converted_state_dict[f"blocks.{i}.attn2.{c}.lora_B.weight"] = original_state_dict.pop(
f"blocks.{i}.cross_attn.{o}.{lora_up_key}.weight"
)
if f"blocks.{i}.cross_attn.{o}.diff_b" in original_state_dict:
converted_state_dict[f"blocks.{i}.attn2.{c}.lora_B.bias"] = original_state_dict.pop(
f"blocks.{i}.cross_attn.{o}.diff_b"
)
original_key = f"blocks.{i}.cross_attn.{o}.{lora_down_key}.weight"
converted_key = f"blocks.{i}.attn2.{c}.lora_A.weight"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

original_key = f"blocks.{i}.cross_attn.{o}.{lora_up_key}.weight"
converted_key = f"blocks.{i}.attn2.{c}.lora_B.weight"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

original_key = f"blocks.{i}.cross_attn.{o}.diff_b"
converted_key = f"blocks.{i}.attn2.{c}.lora_B.bias"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

if is_i2v_lora:
for o, c in zip(["k_img", "v_img"], ["add_k_proj", "add_v_proj"]):
converted_state_dict[f"blocks.{i}.attn2.{c}.lora_A.weight"] = original_state_dict.pop(
f"blocks.{i}.cross_attn.{o}.{lora_down_key}.weight"
)
converted_state_dict[f"blocks.{i}.attn2.{c}.lora_B.weight"] = original_state_dict.pop(
f"blocks.{i}.cross_attn.{o}.{lora_up_key}.weight"
)
if f"blocks.{i}.cross_attn.{o}.diff_b" in original_state_dict:
converted_state_dict[f"blocks.{i}.attn2.{c}.lora_B.bias"] = original_state_dict.pop(
f"blocks.{i}.cross_attn.{o}.diff_b"
)
original_key = f"blocks.{i}.cross_attn.{o}.{lora_down_key}.weight"
converted_key = f"blocks.{i}.attn2.{c}.lora_A.weight"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

original_key = f"blocks.{i}.cross_attn.{o}.{lora_up_key}.weight"
converted_key = f"blocks.{i}.attn2.{c}.lora_B.weight"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

original_key = f"blocks.{i}.cross_attn.{o}.diff_b"
converted_key = f"blocks.{i}.attn2.{c}.lora_B.bias"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

# FFN
for o, c in zip(["ffn.0", "ffn.2"], ["net.0.proj", "net.2"]):
Expand All @@ -1674,10 +1689,10 @@ def _convert_non_diffusers_wan_lora_to_diffusers(state_dict):
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

if f"blocks.{i}.{o}.diff_b" in original_state_dict:
converted_state_dict[f"blocks.{i}.ffn.{c}.lora_B.bias"] = original_state_dict.pop(
f"blocks.{i}.{o}.diff_b"
)
original_key = f"blocks.{i}.{o}.diff_b"
converted_key = f"blocks.{i}.ffn.{c}.lora_B.bias"
if original_key in original_state_dict:
converted_state_dict[converted_key] = original_state_dict.pop(original_key)

# Remaining.
if original_state_dict:
Expand Down