Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-19 17:24:32 +02:00
Code Issues Packages Projects Releases Wiki Activity

refactor image methods

Browse Source 
Signed-off-by: vladmandic <mandic00@live.com>
This commit is contained in:
vladmandic
2026-02-11 12:29:00 +01:00
parent 0ed64ec195
commit da1cf2f996
35 changed files with 682 additions and 648 deletions
Download Patch File Download Diff File Expand all files Collapse all files
scripts/pixelsmith_ext.py
+2 -2
View File
@@ -26,13 +26,13 @@ class Script(scripts_manager.Script):
def encode(self, p: processing.StableDiffusionProcessing, image: Image.Image):
if image is None:
return None
from modules import images_sharpfin
from modules.image import convert
if p.width is None or p.width == 0:
p.width = int(8 * (image.width * p.scale_by // 8))
if p.height is None or p.height == 0:
p.height = int(8 * (image.height * p.scale_by // 8))
image = images.resize_image(p.resize_mode, image, p.width, p.height, upscaler_name=p.resize_name, context=p.resize_context)
tensor = images_sharpfin.to_tensor(image).unsqueeze(0).to(device=devices.device, dtype=devices.dtype)
tensor = convert.to_tensor(image).unsqueeze(0).to(device=devices.device, dtype=devices.dtype)
tensor = 2.0 * tensor - 1.0
with devices.inference_context():
latent = shared.sd_model.vae.tiled_encode(tensor)