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Revert "Revert "Fixing some var and arg names.""

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This reverts commit 58a0709c1e.
This commit is contained in:
Kent Keirsey 2023-10-17 11:59:19 -04:00 committed by GitHub
parent 58a0709c1e
commit 282d36b640
1 changed files with 12 additions and 7 deletions
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19
invokeai/backend/stable_diffusion/diffusers_pipeline.py
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@ -546,11 +546,13 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
# Handle ControlNet(s) and T2I-Adapter(s)
down_block_additional_residuals = None
mid_block_additional_residual = None
if control_data is not None and t2i_adapter_data is not None:
down_intrablock_additional_residuals = None
# if control_data is not None and t2i_adapter_data is not None:
# TODO(ryand): This is a limitation of the UNet2DConditionModel API, not a fundamental incompatibility
# between ControlNets and T2I-Adapters. We will try to fix this upstream in diffusers.
raise Exception("ControlNet(s) and T2I-Adapter(s) cannot be used simultaneously (yet).")
elif control_data is not None:
# raise Exception("ControlNet(s) and T2I-Adapter(s) cannot be used simultaneously (yet).")
# elif control_data is not None:
if control_data is not None:
down_block_additional_residuals, mid_block_additional_residual = self.invokeai_diffuser.do_controlnet_step(
control_data=control_data,
sample=latent_model_input,
@ -559,7 +561,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
total_step_count=total_step_count,
conditioning_data=conditioning_data,
)
elif t2i_adapter_data is not None:
# elif t2i_adapter_data is not None:
if t2i_adapter_data is not None:
accum_adapter_state = None
for single_t2i_adapter_data in t2i_adapter_data:
# Determine the T2I-Adapter weights for the current denoising step.
@ -584,7 +587,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
for idx, value in enumerate(single_t2i_adapter_data.adapter_state):
accum_adapter_state[idx] += value * t2i_adapter_weight
down_block_additional_residuals = accum_adapter_state
# down_block_additional_residuals = accum_adapter_state
down_intrablock_additional_residuals = accum_adapter_state
uc_noise_pred, c_noise_pred = self.invokeai_diffuser.do_unet_step(
sample=latent_model_input,
@ -593,8 +597,9 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
total_step_count=total_step_count,
conditioning_data=conditioning_data,
# extra:
down_block_additional_residuals=down_block_additional_residuals,
mid_block_additional_residual=mid_block_additional_residual,
down_block_additional_residuals=down_block_additional_residuals, # for ControlNet
mid_block_additional_residual=mid_block_additional_residual, # for ControlNet
down_intrablock_additional_residuals=down_intrablock_additional_residuals, # for T2I-Adapter
)
guidance_scale = conditioning_data.guidance_scale