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chore: ruff format

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This commit is contained in:
psychedelicious
2023-11-11 10:55:06 +11:00
parent 513fceac82
commit 6494e8e551
18 changed files with 80 additions and 54 deletions
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8
invokeai/backend/util/hotfixes.py
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@ -732,7 +732,9 @@ class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
controlnet_down_block_res_samples = ()
for down_block_res_sample, controlnet_block in zip(down_block_res_samples, self.controlnet_down_blocks, strict=True):
for down_block_res_sample, controlnet_block in zip(
down_block_res_samples, self.controlnet_down_blocks, strict=True
):
down_block_res_sample = controlnet_block(down_block_res_sample)
controlnet_down_block_res_samples = controlnet_down_block_res_samples + (down_block_res_sample,)
@ -745,7 +747,9 @@ class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
scales = torch.logspace(-1, 0, len(down_block_res_samples) + 1, device=sample.device) # 0.1 to 1.0
scales = scales * conditioning_scale
down_block_res_samples = [sample * scale for sample, scale in zip(down_block_res_samples, scales, strict=True)]
down_block_res_samples = [
sample * scale for sample, scale in zip(down_block_res_samples, scales, strict=True)
]
mid_block_res_sample = mid_block_res_sample * scales[-1] # last one
else:
down_block_res_samples = [sample * conditioning_scale for sample in down_block_res_samples]

6
invokeai/backend/util/util.py
View File

@ -229,7 +229,11 @@ def rand_perlin_2d(shape, res, device, fade=lambda t: 6 * t**5 - 15 * t**4 + 10
gradients = torch.stack((torch.cos(angles), torch.sin(angles)), dim=-1).to(device)
def tile_grads(slice1, slice2):
return gradients[slice1[0]:slice1[1], slice2[0]:slice2[1]].repeat_interleave(d[0], 0).repeat_interleave(d[1], 1)
return (
gradients[slice1[0] : slice1[1], slice2[0] : slice2[1]]
.repeat_interleave(d[0], 0)
.repeat_interleave(d[1], 1)
)
def dot(grad, shift):
return (