openvinotoolkit/stable-diffusion-webui
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Turn the loopback denoise strength change factor into a parameter rather than hardcoding to 0.95. Set the default to 1.

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This commit is contained in:
rewbs 2022-09-08 12:02:06 +00:00
parent 61785cef65
commit ed01f69542
3 changed files with 13 additions and 5 deletions
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9
modules/img2img.py
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@ -11,7 +11,7 @@ from modules.ui import plaintext_to_html
import modules.images as images
import modules.scripts
def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, restore_faces: bool, tiling: bool, mode: int, n_iter: int, batch_size: int, cfg_scale: float, denoising_strength: float, seed: int, height: int, width: int, resize_mode: int, upscaler_index: str, upscale_overlap: int, inpaint_full_res: bool, inpainting_mask_invert: int, *args):
def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, restore_faces: bool, tiling: bool, mode: int, n_iter: int, batch_size: int, cfg_scale: float, denoising_strength: float, denoising_strength_change_factor: float, seed: int, height: int, width: int, resize_mode: int, upscaler_index: str, upscale_overlap: int, inpaint_full_res: bool, inpainting_mask_invert: int, *args):
is_inpaint = mode == 1
is_loopback = mode == 2
is_upscale = mode == 3
@ -50,7 +50,10 @@ def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index
denoising_strength=denoising_strength,
inpaint_full_res=inpaint_full_res,
inpainting_mask_invert=inpainting_mask_invert,
extra_generation_params={"Denoising Strength": denoising_strength}
extra_generation_params={
"Denoising strength": denoising_strength,
"Denoising strength change factor": denoising_strength_change_factor
}
)
if is_loopback:
@ -99,7 +102,7 @@ def img2img(prompt: str, init_img, init_img_with_mask, steps: int, sampler_index
p.init_images = [init_img]
p.seed = processed.seed + 1
p.denoising_strength = max(p.denoising_strength * 0.95, 0.1)
p.denoising_strength = min(max(p.denoising_strength * denoising_strength_change_factor, 0.1), 1)
history.append(processed.images[0])
grid = images.image_grid(history, batch_size, rows=1)

6
modules/ui.py
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@ -349,7 +349,8 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
with gr.Group():
cfg_scale = gr.Slider(minimum=1.0, maximum=15.0, step=0.5, label='CFG Scale', value=7.0)
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising Strength', value=0.75)
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.75)
denoising_strength_change_factor = gr.Slider(minimum=0.9, maximum=1.1, step=0.01, label='Denoising strength change factor', value=1, visible=False)
with gr.Group():
height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
@ -396,6 +397,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
sd_upscale_overlap: gr_show(is_upscale),
inpaint_full_res: gr_show(is_inpaint),
inpainting_mask_invert: gr_show(is_inpaint),
denoising_strength_change_factor: gr_show(is_loopback),
}
switch_mode.change(
@ -412,6 +414,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
sd_upscale_overlap,
inpaint_full_res,
inpainting_mask_invert,
denoising_strength_change_factor,
]
)
@ -433,6 +436,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
batch_size,
cfg_scale,
denoising_strength,
denoising_strength_change_factor,
seed,
height,
width,

3
script.js
View File

@ -26,7 +26,8 @@ titles = {
"latent nothing": "fill it with latent space zeroes",
"Inpaint at full resolution": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
"Denoising Strength": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image.",
"Denoising strength": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image.",
"Denoising strength change factor": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
"Interrupt": "Stop processing images and return any results accumulated so far.",
"Save": "Write image to a directory (default - log/images) and generation parameters into csv file.",