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Merge branch 'dev' into efficient-vae-methods

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Kohaku-Blueleaf 2023-08-04 14:38:16 +08:00
commit 70e66e81e5
6 changed files with 18 additions and 14 deletions
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8
modules/processing.py
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@ -30,6 +30,7 @@ from ldm.models.diffusion.ddpm import LatentDepth2ImageDiffusion
from einops import repeat, rearrange
from blendmodes.blend import blendLayers, BlendType
decode_first_stage = sd_samplers_common.decode_first_stage
# some of those options should not be changed at all because they would break the model, so I removed them from options.
opt_C = 4
@ -572,13 +573,6 @@ def decode_latent_batch(model, batch, target_device=None, check_for_nans=False):
return samples
def decode_first_stage(model, x):
from modules.sd_samplers_common import samples_to_images_tensor, approximation_indexes
x = x.to(devices.dtype_vae)
approx_index = approximation_indexes.get(opts.sd_vae_decode_method, 0)
return samples_to_images_tensor(x, approx_index, model)
def get_fixed_seed(seed):
if seed is None or seed == '' or seed == -1:
return int(random.randrange(4294967294))