Skip to content

Fix LTX 0.9.5 single file #11271

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
Apr 10, 2025
+33 −2
Merged

Fix LTX 0.9.5 single file #11271

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
35 changes: 33 additions & 2 deletions src/diffusers/loaders/single_file_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -177,6 +177,7 @@
"flux-schnell": {"pretrained_model_name_or_path": "black-forest-labs/FLUX.1-schnell"},
"ltx-video": {"pretrained_model_name_or_path": "diffusers/LTX-Video-0.9.0"},
"ltx-video-0.9.1": {"pretrained_model_name_or_path": "diffusers/LTX-Video-0.9.1"},
"ltx-video-0.9.5": {"pretrained_model_name_or_path": "Lightricks/LTX-Video-0.9.5"},
"autoencoder-dc-f128c512": {"pretrained_model_name_or_path": "mit-han-lab/dc-ae-f128c512-mix-1.0-diffusers"},
"autoencoder-dc-f64c128": {"pretrained_model_name_or_path": "mit-han-lab/dc-ae-f64c128-mix-1.0-diffusers"},
"autoencoder-dc-f32c32": {"pretrained_model_name_or_path": "mit-han-lab/dc-ae-f32c32-mix-1.0-diffusers"},
Expand Down Expand Up @@ -638,7 +639,9 @@ def infer_diffusers_model_type(checkpoint):
model_type = "flux-schnell"

elif any(key in checkpoint for key in CHECKPOINT_KEY_NAMES["ltx-video"]):
if "vae.decoder.last_time_embedder.timestep_embedder.linear_1.weight" in checkpoint:
if checkpoint["vae.encoder.conv_out.conv.weight"].shape[1] == 2048:
model_type = "ltx-video-0.9.5"
elif "vae.decoder.last_time_embedder.timestep_embedder.linear_1.weight" in checkpoint:
model_type = "ltx-video-0.9.1"
else:
model_type = "ltx-video"
Expand Down Expand Up @@ -2403,13 +2406,41 @@ def remove_keys_(key: str, state_dict):
"last_scale_shift_table": "scale_shift_table",
}

VAE_095_RENAME_DICT = {
# decoder
"up_blocks.0": "mid_block",
"up_blocks.1": "up_blocks.0.upsamplers.0",
"up_blocks.2": "up_blocks.0",
"up_blocks.3": "up_blocks.1.upsamplers.0",
"up_blocks.4": "up_blocks.1",
"up_blocks.5": "up_blocks.2.upsamplers.0",
"up_blocks.6": "up_blocks.2",
"up_blocks.7": "up_blocks.3.upsamplers.0",
"up_blocks.8": "up_blocks.3",
# encoder
"down_blocks.0": "down_blocks.0",
"down_blocks.1": "down_blocks.0.downsamplers.0",
"down_blocks.2": "down_blocks.1",
"down_blocks.3": "down_blocks.1.downsamplers.0",
"down_blocks.4": "down_blocks.2",
"down_blocks.5": "down_blocks.2.downsamplers.0",
"down_blocks.6": "down_blocks.3",
"down_blocks.7": "down_blocks.3.downsamplers.0",
"down_blocks.8": "mid_block",
# common
"last_time_embedder": "time_embedder",
"last_scale_shift_table": "scale_shift_table",
}

VAE_SPECIAL_KEYS_REMAP = {
"per_channel_statistics.channel": remove_keys_,
"per_channel_statistics.mean-of-means": remove_keys_,
"per_channel_statistics.mean-of-stds": remove_keys_,
}

if "vae.decoder.last_time_embedder.timestep_embedder.linear_1.weight" in converted_state_dict:
if converted_state_dict["vae.encoder.conv_out.conv.weight"].shape[1] == 2048:
VAE_KEYS_RENAME_DICT.update(VAE_095_RENAME_DICT)
elif "vae.decoder.last_time_embedder.timestep_embedder.linear_1.weight" in converted_state_dict:
VAE_KEYS_RENAME_DICT.update(VAE_091_RENAME_DICT)

for key in list(converted_state_dict.keys()):
Expand Down
Loading