Skip to content
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

Add support for SD 2.1 Turbo #14170

Merged
merged 2 commits into from
Dec 2, 2023
Merged

Add support for SD 2.1 Turbo #14170

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
293f44e
Fix bug where is_using_v_parameterization_for_sd2 fails because the s…
MrCheeze Dec 2, 2023
6080045
Add support for SD 2.1 Turbo, by converting the state dict from SGM t…
MrCheeze Dec 2, 2023
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
9 changes: 6 additions & 3 deletions modules/sd_hijack.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,9 +38,6 @@
optimizers = []
current_optimizer: sd_hijack_optimizations.SdOptimization = None

ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)

def list_optimizers():
new_optimizers = script_callbacks.list_optimizers_callback()

Expand Down Expand Up @@ -258,6 +255,9 @@ def flatten(el):

import modules.models.diffusion.ddpm_edit

ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)

if isinstance(m, ldm.models.diffusion.ddpm.LatentDiffusion):
sd_unet.original_forward = ldm_original_forward
elif isinstance(m, modules.models.diffusion.ddpm_edit.LatentDiffusion):
Expand Down Expand Up @@ -303,6 +303,9 @@ def undo_hijack(self, m):
self.layers = None
self.clip = None

patches.undo(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward")
patches.undo(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward")

sd_unet.original_forward = None


Expand Down
17 changes: 13 additions & 4 deletions modules/sd_models.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -230,15 +230,19 @@ def select_checkpoint():
return checkpoint_info


checkpoint_dict_replacements = {
checkpoint_dict_replacements_sd1 = {
'cond_stage_model.transformer.embeddings.': 'cond_stage_model.transformer.text_model.embeddings.',
'cond_stage_model.transformer.encoder.': 'cond_stage_model.transformer.text_model.encoder.',
'cond_stage_model.transformer.final_layer_norm.': 'cond_stage_model.transformer.text_model.final_layer_norm.',
}

checkpoint_dict_replacements_sd2_turbo = { # Converts SD 2.1 Turbo from SGM to LDM format.
'conditioner.embedders.0.': 'cond_stage_model.',
}


def transform_checkpoint_dict_key(k):
for text, replacement in checkpoint_dict_replacements.items():
def transform_checkpoint_dict_key(k, replacements):
for text, replacement in replacements.items():
if k.startswith(text):
k = replacement + k[len(text):]

Expand All @@ -249,9 +253,14 @@ def get_state_dict_from_checkpoint(pl_sd):
pl_sd = pl_sd.pop("state_dict", pl_sd)
pl_sd.pop("state_dict", None)

is_sd2_turbo = 'conditioner.embedders.0.model.ln_final.weight' in pl_sd and pl_sd['conditioner.embedders.0.model.ln_final.weight'].size()[0] == 1024

sd = {}
for k, v in pl_sd.items():
new_key = transform_checkpoint_dict_key(k)
if is_sd2_turbo:
new_key = transform_checkpoint_dict_key(k, checkpoint_dict_replacements_sd2_turbo)
else:
new_key = transform_checkpoint_dict_key(k, checkpoint_dict_replacements_sd1)

if new_key is not None:
sd[new_key] = v
Expand Down