add extra generation params

modules/img2img.py

@@ -63,6 +63,8 @@ def img2img(prompt: str, negative_prompt: str, prompt_style: str, prompt_style2:
     )
     print(f"\nimg2img: {prompt}", file=shared.progress_print_out)
 
+    p.extra_generation_params["Mask blur"] = mask_blur
+
     if is_upscale:
         initial_info = None
 

modules/processing.py

@@ -70,7 +70,7 @@ class StableDiffusionProcessing:
         self.tiling: bool = tiling
         self.do_not_save_samples: bool = do_not_save_samples
         self.do_not_save_grid: bool = do_not_save_grid
-        self.extra_generation_params: dict = extra_generation_params
+        self.extra_generation_params: dict = extra_generation_params or {}
         self.overlay_images = overlay_images
         self.paste_to = None
         self.color_corrections = None
@@ -248,8 +248,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
         "Denoising strength": getattr(p, 'denoising_strength', None),
     }
 
-    if p.extra_generation_params is not None:
-        generation_params.update(p.extra_generation_params)
+    generation_params.update(p.extra_generation_params)
 
     generation_params_text = ", ".join([k if k == v else f'{k}: {v}' for k, v in generation_params.items() if v is not None])
 

scripts/img2imgalt.py

@@ -77,13 +77,14 @@ class Script(scripts.Script):
         original_negative_prompt = gr.Textbox(label="Original negative prompt", lines=1)
         cfg = gr.Slider(label="Decode CFG scale", minimum=0.0, maximum=15.0, step=0.1, value=1.0)
         st = gr.Slider(label="Decode steps", minimum=1, maximum=150, step=1, value=50)
-        randomness = gr.Slider(label="randomness", minimum=0.0, maximum=1.0, step=0.01, value=0.0)
+        randomness = gr.Slider(label="Randomness", minimum=0.0, maximum=1.0, step=0.01, value=0.0)
         return [original_prompt, original_negative_prompt, cfg, st, randomness]
 
     def run(self, p, original_prompt, original_negative_prompt, cfg, st, randomness):
         p.batch_size = 1
         p.batch_count = 1
 
+
         def sample_extra(conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength):
             lat = (p.init_latent.cpu().numpy() * 10).astype(int)
 
@@ -113,14 +114,13 @@ class Script(scripts.Script):
             
             return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning)
 
-
         p.sample = sample_extra
 
-        p.extra_generation_params = {
-            "Decode prompt": original_prompt,
-            "Decode CFG scale": cfg,
-            "Decode steps": st,
-        }
+        p.extra_generation_params["Decode prompt"] = original_prompt
+        p.extra_generation_params["Decode negative prompt"] = original_negative_prompt
+        p.extra_generation_params["Decode CFG scale"] = cfg
+        p.extra_generation_params["Decode steps"] = st
+        p.extra_generation_params["Randomness"] = randomness
 
         processed = processing.process_images(p)