Force denoising strength of 1 for noisy latents

modules/generation_parameters_copypaste.py

@@ -291,6 +291,8 @@ def parse_generation_parameters(x: str):
 
     if "Hires noisy latent" not in res:
         res["Hires noisy latent"] = False
+    elif res["Hires noisy latent"] == True:
+        res["Denoising strength"] = 1.0
 
     restore_old_hires_fix_params(res)
 

modules/processing.py

@@ -946,7 +946,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
     def __init__(self, enable_hr: bool = False, denoising_strength: float = 0.75, firstphase_width: int = 0, firstphase_height: int = 0, hr_scale: float = 2.0, hr_upscaler: str = None, hr_second_pass_steps: int = 0, hr_resize_x: int = 0, hr_resize_y: int = 0, hr_checkpoint_name: str = None, hr_sampler_name: str = None, hr_use_noisy: bool = False, hr_prompt: str = '', hr_negative_prompt: str = '', **kwargs):
         super().__init__(**kwargs)
         self.enable_hr = enable_hr
-        self.denoising_strength = denoising_strength
+        self.denoising_strength = denoising_strength if not hr_use_noisy else 1.0
         self.hr_scale = hr_scale
         self.hr_upscaler = hr_upscaler
         self.hr_second_pass_steps = hr_second_pass_steps

modules/ui.py

@@ -614,6 +614,13 @@ def create_ui():
                 show_progress = False,
             )
 
+            hr_use_noisy.change(
+                fn=lambda x: gr_show(not x),
+                inputs=[hr_use_noisy],
+                outputs=[denoising_strength],
+                show_progress = False,
+            )
+
             txt2img_paste_fields = [
                 (txt2img_prompt, "Prompt"),
                 (txt2img_negative_prompt, "Negative prompt"),