* Counteract recent bit-rot and churn negatively affecting my PR, as per feedback.

backend/invoke_ai_web_server.py

@@ -699,6 +699,8 @@ class InvokeAIWebServer:
             'variations',
             'steps',
             'cfg_scale',
+            'threshold',
+            'perlin',
             'step_number',
             'width',
             'height',

backend/server.py

@@ -486,6 +486,8 @@ def parameters_to_generated_image_metadata(parameters):
         "variations",
         "steps",
         "cfg_scale",
+        "threshold",
+        "perlin",
         "step_number",
         "width",
         "height",

ldm/dream/args.py

@@ -529,6 +529,18 @@ class Args(object):
             type=float,
             help='Classifier free guidance (CFG) scale - higher numbers cause generator to "try" harder.',
         )
+        render_group.add_argument(
+            '--threshold',
+            default=0.0,
+            type=float,
+            help='Latent threshold for classifier free guidance (CFG) - prevent generator from "trying" too hard. Use positive values, 0 disables.',
+        )
+        render_group.add_argument(
+            '--perlin',
+            default=0.0,
+            type=float,
+            help='Perlin noise scale (0.0 - 1.0) - add perlin noise to the initialization instead of the usual gaussian noise.',
+        )
         render_group.add_argument(
             '--grid',
             '-g',
@@ -725,7 +737,7 @@ def metadata_dumps(opt,
 
     # remove any image keys not mentioned in RFC #266
     rfc266_img_fields = ['type','postprocessing','sampler','prompt','seed','variations','steps',
-                         'cfg_scale','step_number','width','height','extra','strength']
+                         'cfg_scale','threshold','perlin','step_number','width','height','extra','strength']
 
     rfc_dict ={}
 

ldm/dream/readline.py

@@ -32,6 +32,8 @@ COMMANDS = (
     '--iterations','-n',
     '--width','-W','--height','-H',
     '--cfg_scale','-C',
+    '--threshold',
+    '--perlin',
     '--grid','-g',
     '--individual','-i',
     '--init_img','-I',

ldm/generate.py

@@ -361,7 +361,7 @@ class Generate:
         ), '-v --variation_amount must be in [0.0, 1.0]'
         assert (
                 0.0 <= perlin <= 1.0
-        ), '-v --perlin must be in [0.0, 1.0]'
+        ), '--perlin must be in [0.0, 1.0]'
         assert (
             (embiggen == None and embiggen_tiles == None) or (
                 (embiggen != None or embiggen_tiles != None) and init_img != None)

server/models.py

@@ -31,6 +31,8 @@ class DreamBase():
   width: int = 512
   height: int = 512
   cfg_scale: float = 7.5
+  threshold: float = 0.0
+  perlin: float = 0.0
   sampler_name: string = 'klms'
   seamless: bool = False
   model: str = None # The model to use (currently unused)
@@ -83,6 +85,8 @@ class DreamBase():
       self.width = int(j.get('width'))
       self.height = int(j.get('height'))
       self.cfg_scale = float(j.get('cfgscale') or j.get('cfg_scale'))
+      self.threshold = float(j.get('threshold'))
+      self.perlin = float(j.get('perlin'))
       self.sampler_name  = j.get('sampler') or j.get('sampler_name')
       # model: str = None # The model to use (currently unused)
       # embeddings = None # The embeddings to use (currently unused)

server/services.py

@@ -363,6 +363,8 @@ class GeneratorService:
           fit              = None if init_img is None else jobRequest.fit,
           iterations       = jobRequest.iterations,
           cfg_scale        = jobRequest.cfg_scale,
+          threshold        = jobRequest.threshold,
+          perlin           = jobRequest.perlin,
           width            = jobRequest.width,
           height           = jobRequest.height,
           seed             = jobRequest.seed,