코드 매우 심플한데, 효과적인 생성방법.
down block, mid block 부분 controlnet에서 떼옴 .
down_block_res_samples, mid_block_res_sample = controlnet(
noisy_latents,
timesteps,
encoder_hidden_states=encoder_hidden_states,
controlnet_cond=controlnet_image,
return_dict=False,
)
unet 의 down block부분과 mid block부분을 업데이트 함...
# Predict the noise residual
model_pred = unet(
noisy_latents,
timesteps,
encoder_hidden_states=encoder_hidden_states,
down_block_additional_residuals=[
sample.to(dtype=weight_dtype) for sample in down_block_res_samples
],
mid_block_additional_residual=mid_block_res_sample.to(dtype=weight_dtype),
).sample
n
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