diff options
Diffstat (limited to 'modules/processing.py')
-rw-r--r-- | modules/processing.py | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py index e567956c..de818d5b 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -11,7 +11,7 @@ import cv2 from skimage import exposure
import modules.sd_hijack
-from modules import devices, prompt_parser, masking, sd_samplers
+from modules import devices, prompt_parser, masking, sd_samplers, lowvram
from modules.sd_hijack import model_hijack
from modules.shared import opts, cmd_opts, state
import modules.shared as shared
@@ -382,6 +382,13 @@ def process_images(p: StableDiffusionProcessing) -> Processed: x_samples_ddim = p.sd_model.decode_first_stage(samples_ddim)
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
+ del samples_ddim
+
+ if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
+ lowvram.send_everything_to_cpu()
+
+ devices.torch_gc()
+
if opts.filter_nsfw:
import modules.safety as safety
x_samples_ddim = modules.safety.censor_batch(x_samples_ddim)
@@ -426,6 +433,10 @@ def process_images(p: StableDiffusionProcessing) -> Processed: infotexts.append(infotext(n, i))
output_images.append(image)
+ del x_samples_ddim
+
+ devices.torch_gc()
+
state.nextjob()
p.color_corrections = None
@@ -663,4 +674,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): if self.mask is not None:
samples = samples * self.nmask + self.init_latent * self.mask
+ del x
+ devices.torch_gc()
+
return samples
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