reorg cli

Signed-off-by: vladmandic <mandic00@live.com>

CHANGELOG.md

@@ -7,6 +7,7 @@ Bugfix refresh
 - add metadata restore to always-on scripts
 - improve wildcard weights parsing, thanks @Tillerz
 - fix `anima` model detection
+- reorganize `cli` scripts
 
 ## Update for 2026-02-04
 

cli/generate.py

@@ -221,7 +221,7 @@ def args(): # parse cmd arguments
     global random # pylint: disable=global-statement
     parser = argparse.ArgumentParser(description = 'sd pipeline')
     parser.add_argument('--config', type = str, default = 'generate.json', required = False, help = 'configuration file')
-    parser.add_argument('--random', type = str, default = 'random.json', required = False, help = 'prompt file with randomized sections')
+    parser.add_argument('--random', type = str, default = 'generate-random.json', required = False, help = 'prompt file with randomized sections')
     parser.add_argument('--max', type = int, default = 1, required = False, help = 'maximum number of generated images')
     parser.add_argument('--prompt', type = str, default = 'dynamic', required = False, help = 'prompt')
     parser.add_argument('--negative', type = str, default = 'dynamic', required = False, help = 'negative prompt')

cli/process.py

@@ -12,7 +12,7 @@ from scipy.stats import beta
 
 import util
 import sdapi
-import options
+import process_options as options
 
 face_model = None
 body_model = None
@@ -42,7 +42,7 @@ def detect_blur(image: Image):
     cx, cy = image.size[0] // 2, image.size[1] // 2
     fft = np.fft.fft2(bw)
     fftShift = np.fft.fftshift(fft)
-    fftShift[cy - options.process.blur_samplesize: cy + options.process.blur_samplesize, cx - options.process.blur_samplesize: cx + options.process.blur_samplesize] = 0
+    fftShift[cy - options.process.blur_samplesize: cy + options.process.blur_samplesize, cx - options.process.blur_samplesize: cx + options.process.blur_samplesize] = 0 # pylint: disable=unsupported-assignment-operation
     fftShift = np.fft.ifftshift(fftShift)
     recon = np.fft.ifft2(fftShift)
     magnitude = np.log(np.abs(recon))