diff options
| -rw-r--r-- | modules/img2img.py | 43 | ||||
| -rw-r--r-- | modules/ui.py | 11 | ||||
| -rw-r--r-- | script.js | 4 | ||||
| -rw-r--r-- | scripts/loopback.py | 78 |
4 files changed, 86 insertions, 50 deletions
diff --git a/modules/img2img.py b/modules/img2img.py index 08e15911..bfcd7598 100644 --- a/modules/img2img.py +++ b/modules/img2img.py @@ -11,10 +11,9 @@ from modules.ui import plaintext_to_html import modules.images as images
import modules.scripts
-def img2img(prompt: str, negative_prompt: str, prompt_style: str, init_img, init_img_with_mask, init_mask, mask_mode, 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, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: 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, negative_prompt: str, prompt_style: str, init_img, init_img_with_mask, init_mask, mask_mode, 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, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: 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
+ is_upscale = mode == 2
if is_inpaint:
if mask_mode == 0:
@@ -61,46 +60,10 @@ def img2img(prompt: str, negative_prompt: str, prompt_style: str, init_img, init denoising_strength=denoising_strength,
inpaint_full_res=inpaint_full_res,
inpainting_mask_invert=inpainting_mask_invert,
- extra_generation_params={
- "Denoising strength change factor": (denoising_strength_change_factor if is_loopback else None)
- }
)
print(f"\nimg2img: {prompt}", file=shared.progress_print_out)
- if is_loopback:
- output_images, info = None, None
- history = []
- initial_seed = None
- initial_info = None
-
- state.job_count = n_iter
-
- for i in range(n_iter):
- p.n_iter = 1
- p.batch_size = 1
- p.do_not_save_grid = True
-
- state.job = f"Batch {i + 1} out of {n_iter}"
- processed = process_images(p)
-
- if initial_seed is None:
- initial_seed = processed.seed
- initial_info = processed.info
-
- init_img = processed.images[0]
-
- p.init_images = [init_img]
- p.seed = processed.seed + 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)
-
- images.save_image(grid, p.outpath_grids, "grid", initial_seed, prompt, opts.grid_format, info=info, short_filename=not opts.grid_extended_filename, grid=True, p=p)
-
- processed = Processed(p, history, initial_seed, initial_info)
-
- elif is_upscale:
+ if is_upscale:
initial_info = None
processing.fix_seed(p)
diff --git a/modules/ui.py b/modules/ui.py index ae064be5..c88a1f22 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -387,7 +387,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
with gr.Group():
- switch_mode = gr.Radio(label='Mode', elem_id="img2img_mode", choices=['Redraw whole image', 'Inpaint a part of image', 'Loopback', 'SD upscale'], value='Redraw whole image', type="index", show_label=False)
+ switch_mode = gr.Radio(label='Mode', elem_id="img2img_mode", choices=['Redraw whole image', 'Inpaint a part of image', 'SD upscale'], value='Redraw whole image', type="index", show_label=False)
init_img = gr.Image(label="Image for img2img", source="upload", interactive=True, type="pil")
init_img_with_mask = gr.Image(label="Image for inpainting with mask", elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", visible=False, image_mode="RGBA")
init_mask = gr.Image(label="Mask", source="upload", interactive=True, type="pil", visible=False)
@@ -421,7 +421,6 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): with gr.Group():
cfg_scale = gr.Slider(minimum=1.0, maximum=30.0, 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_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():
width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)
@@ -455,8 +454,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): def apply_mode(mode, uploadmask):
is_classic = mode == 0
is_inpaint = mode == 1
- is_loopback = mode == 2
- is_upscale = mode == 3
+ is_upscale = mode == 2
return {
init_img: gr_show(not is_inpaint or (is_inpaint and uploadmask == 1)),
@@ -466,12 +464,10 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): mask_mode: gr_show(is_inpaint),
mask_blur: gr_show(is_inpaint),
inpainting_fill: gr_show(is_inpaint),
- batch_size: gr_show(not is_loopback),
sd_upscale_upscaler_name: gr_show(is_upscale),
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),
img2img_interrogate: gr_show(not is_inpaint),
}
@@ -486,12 +482,10 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): mask_mode,
mask_blur,
inpainting_fill,
- batch_size,
sd_upscale_upscaler_name,
sd_upscale_overlap,
inpaint_full_res,
inpainting_mask_invert,
- denoising_strength_change_factor,
img2img_interrogate,
]
)
@@ -532,7 +526,6 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo): batch_size,
cfg_scale,
denoising_strength,
- denoising_strength_change_factor,
seed,
subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w,
height,
@@ -13,7 +13,6 @@ titles = { "Seed": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result", "Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt", - "Loopback": "Process an image, use it as an input, repeat. Batch count determins number of iterations.", "SD upscale": "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back", "Just resize": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.", @@ -58,6 +57,9 @@ titles = { "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_spaces], [width], [height], [sampler], [seed], [model_hash], [prompt_words], [date]; leave empty for default.", "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_spaces], [width], [height], [sampler], [seed], [model_hash], [prompt_words], [date]; leave empty for default.", + + "Loopback": "Process an image, use it as an input, repeat.", + "Loops": "How many times to repeat processing an image and using it as input for the next iteration", } function gradioApp(){ diff --git a/scripts/loopback.py b/scripts/loopback.py new file mode 100644 index 00000000..f1102c92 --- /dev/null +++ b/scripts/loopback.py @@ -0,0 +1,78 @@ +import numpy as np
+from tqdm import trange
+
+import modules.scripts as scripts
+import gradio as gr
+
+from modules import processing, shared, sd_samplers, images
+from modules.processing import Processed
+from modules.sd_samplers import samplers
+from modules.shared import opts, cmd_opts, state
+
+class Script(scripts.Script):
+ def title(self):
+ return "Loopback"
+
+ def show(self, is_img2img):
+ return is_img2img
+
+ def ui(self, is_img2img):
+ loops = gr.Slider(minimum=1, maximum=32, step=1, label='Loops', value=4)
+ denoising_strength_change_factor = gr.Slider(minimum=0.9, maximum=1.1, step=0.01, label='Denoising strength change factor', value=1)
+
+ return [loops, denoising_strength_change_factor]
+
+ def run(self, p, loops, denoising_strength_change_factor):
+ processing.fix_seed(p)
+ batch_count = p.n_iter
+ p.extra_generation_params = {
+ "Denoising strength change factor": denoising_strength_change_factor,
+ }
+
+ p.batch_size = 1
+ p.n_iter = 1
+
+ output_images, info = None, None
+ initial_seed = None
+ initial_info = None
+
+ grids = []
+ all_images = []
+ state.job_count = loops * batch_count
+
+ for n in range(batch_count):
+ history = []
+
+ for i in range(loops):
+ p.n_iter = 1
+ p.batch_size = 1
+ p.do_not_save_grid = True
+
+ state.job = f"Iteration {i + 1}/{loops}, batch {n + 1}/{batch_count}"
+
+ processed = processing.process_images(p)
+
+ if initial_seed is None:
+ initial_seed = processed.seed
+ initial_info = processed.info
+
+ init_img = processed.images[0]
+
+ p.init_images = [init_img]
+ p.seed = processed.seed + 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, rows=1)
+ if opts.grid_save:
+ images.save_image(grid, p.outpath_grids, "grid", initial_seed, p.prompt, opts.grid_format, info=info, short_filename=not opts.grid_extended_filename, grid=True, p=p)
+
+ grids.append(grid)
+ all_images += history
+
+ if opts.return_grid:
+ all_images = grids + all_images
+
+ processed = Processed(p, all_images, initial_seed, initial_info)
+
+ return processed
|