Mirrors
/
stable-diffusion-webui
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #12564 from catboxanon/feat/img2img-noise 

Add extra noise param for img2img operations
This commit is contained in:
AUTOMATIC1111 2023-08-15 09:50:20 +03:00 committed by GitHub
parent 79d4e81984 371b24b17c
commit bc61ad9ec8
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 12 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
modules/sd_samplers_kdiffusion.py
View File

@ -145,6 +145,10 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
xi = x + noise * sigma_sched[0] xi = x + noise * sigma_sched[0]
if opts.img2img_extra_noise > 0:
p.extra_generation_params["Extra noise"] = opts.img2img_extra_noise
xi += noise * opts.img2img_extra_noise
extra_params_kwargs = self.initialize(p) extra_params_kwargs = self.initialize(p)
parameters = inspect.signature(self.func).parameters parameters = inspect.signature(self.func).parameters

4
modules/sd_samplers_timesteps.py
View File

@ -104,6 +104,10 @@ class CompVisSampler(sd_samplers_common.Sampler):
xi = x * sqrt_alpha_cumprod + noise * sqrt_one_minus_alpha_cumprod xi = x * sqrt_alpha_cumprod + noise * sqrt_one_minus_alpha_cumprod
if opts.img2img_extra_noise > 0:
p.extra_generation_params["Extra noise"] = opts.img2img_extra_noise
xi += noise * opts.img2img_extra_noise * sqrt_alpha_cumprod
extra_params_kwargs = self.initialize(p) extra_params_kwargs = self.initialize(p)
parameters = inspect.signature(self.func).parameters parameters = inspect.signature(self.func).parameters

3
modules/shared_options.py
View File

@ -166,7 +166,8 @@ For img2img, VAE is used to process user's input image before the sampling, and
options_templates.update(options_section(('img2img', "img2img"), { options_templates.update(options_section(('img2img', "img2img"), {
"inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext='Conditional mask weight'), "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext='Conditional mask weight'),
"initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.5, "maximum": 1.5, "step": 0.01}, infotext='Noise multiplier'), "initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.0, "maximum": 1.5, "step": 0.001}, infotext='Noise multiplier'),
"img2img_extra_noise": OptionInfo(0.0, "Extra noise multiplier for img2img and hires fix", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext='Extra noise').info("0 = disabled (default); should be lower than denoising strength"),
"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."), "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
"img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies.").info("normally you'd do less with less denoising"), "img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies.").info("normally you'd do less with less denoising"),
"img2img_background_color": OptionInfo("#ffffff", "With img2img, fill transparent parts of the input image with this color.", ui_components.FormColorPicker, {}), "img2img_background_color": OptionInfo("#ffffff", "With img2img, fill transparent parts of the input image with this color.", ui_components.FormColorPicker, {}),

2
scripts/xyz_grid.py
View File

@ -250,6 +250,8 @@ axis_options = [
AxisOption("Eta", float, apply_field("eta")), AxisOption("Eta", float, apply_field("eta")),
AxisOption("Clip skip", int, apply_clip_skip), AxisOption("Clip skip", int, apply_clip_skip),
AxisOption("Denoising", float, apply_field("denoising_strength")), AxisOption("Denoising", float, apply_field("denoising_strength")),
AxisOption("Initial noise multiplier", float, apply_field("initial_noise_multiplier")),
AxisOption("Extra noise", float, apply_override("img2img_extra_noise")),
AxisOptionTxt2Img("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]), AxisOptionTxt2Img("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]),
AxisOptionImg2Img("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")), AxisOptionImg2Img("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['None'] + list(sd_vae.vae_dict)), AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['None'] + list(sd_vae.vae_dict)),