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445 fix controlnet tutorial #448

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marksgraham merged 2 commits into from
Dec 15, 2023
Merged

445 fix controlnet tutorial #448

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ee06b12
Ru
Dec 13, 2023
8bc7a3f
Modified controlnet tutorial to fix typos, as well as including Contr…
Dec 15, 2023
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6 changes: 4 additions & 2 deletions generative/inferers/inferer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -598,7 +598,7 @@ def __call__(

diffuse = diffusion_model
if isinstance(diffusion_model, SPADEDiffusionModelUNet):
diffuse = partial(diffusion_model, seg = seg)
diffuse = partial(diffusion_model, seg=seg)

prediction = diffuse(
x=noisy_image,
Expand Down Expand Up @@ -746,7 +746,7 @@ def get_likelihood(

diffuse = diffusion_model
if isinstance(diffusion_model, SPADEDiffusionModelUNet):
diffuse = partial(diffusion_model, seg = seg)
diffuse = partial(diffusion_model, seg=seg)

if mode == "concat":
noisy_image = torch.cat([noisy_image, conditioning], dim=1)
Expand Down Expand Up @@ -832,6 +832,7 @@ def get_likelihood(
else:
return total_kl


class ControlNetLatentDiffusionInferer(ControlNetDiffusionInferer):
"""
ControlNetLatentDiffusionInferer takes a stage 1 model (VQVAE or AutoencoderKL), diffusion model, controlnet,
Expand Down Expand Up @@ -1085,6 +1086,7 @@ def get_likelihood(
outputs = (outputs[0], intermediates)
return outputs


class VQVAETransformerInferer(Inferer):
"""
Class to perform inference with a VQVAE + Transformer model.
Expand Down
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