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(minor) Tidy prepare_control_image(...).

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Ryan Dick
2023-09-19 16:48:45 -04:00
parent d3e8922cf0
commit 6c556e888a
1 changed files with 7 additions and 11 deletions
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18
invokeai/app/util/controlnet_utils.py
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@ -268,10 +268,8 @@ def prepare_control_image(
# image used to be Union[PIL.Image.Image, List[PIL.Image.Image], torch.Tensor, List[torch.Tensor]]
# but now should be able to assume that image is a single PIL.Image, which simplifies things
image: Image,
# FIXME: need to fix hardwiring of width and height, change to basing on latents dimensions?
# latents_to_match_resolution, # TorchTensor of shape (batch_size, 3, height, width)
width=512, # should be 8 * latent.shape[3]
height=512, # should be 8 * latent height[2]
width: int, # should be 8 * latent.shape[3]
height: int, # should be 8 * latent height[2]
# batch_size=1, # currently no batching
# num_images_per_prompt=1, # currently only single image
device="cuda",
@ -289,10 +287,10 @@ def prepare_control_image(
image = image.convert("RGB")
if resize_mode == "just_resize_simple":
image = image.resize((width, height), resample=PIL_INTERPOLATION["lanczos"])
elif resize_mode == "crop_resize_simple": # not yet implemented
pass
elif resize_mode == "fill_resize_simple": # not yet implemented
pass
elif resize_mode == "crop_resize_simple":
raise NotImplementedError(f"prepare_control_image is not implemented for resize_mode='{resize_mode}'.")
elif resize_mode == "fill_resize_simple":
raise NotImplementedError(f"prepare_control_image is not implemented for resize_mode='{resize_mode}'.")
nimage = np.array(image)
nimage = nimage[None, :]
nimage = np.concatenate([nimage], axis=0)
@ -313,9 +311,7 @@ def prepare_control_image(
device=device,
)
else:
pass
print("ERROR: invalid resize_mode ==> ", resize_mode)
exit(1)
raise ValueError(f"Unsupported resize_mode: '{resize_mode}'.")
timage = timage.to(device=device, dtype=dtype)
cfg_injection = control_mode == "more_control" or control_mode == "unbalanced"