From f9ca39c6305942217c4ae8aa33bcc00edb059dfe Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 30 Oct 2024 08:42:55 -0400 Subject: [PATCH 01/22] readd model_hash to sd_models Signed-off-by: Vladimir Mandic --- modules/sd_models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/sd_models.py b/modules/sd_models.py index dc0679c58..a925b207e 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -19,7 +19,7 @@ from modules import paths, shared, shared_state, modelloader, devices, script_ca from modules.timer import Timer from modules.memstats import memory_stats from modules.modeldata import model_data -from modules.sd_checkpoint import CheckpointInfo, select_checkpoint, list_models, checkpoints_list, checkpoint_titles, get_closet_checkpoint_match, update_model_hashes, setup_model, write_metadata, read_metadata_from_safetensors # pylint: disable=unused-import +from modules.sd_checkpoint import CheckpointInfo, select_checkpoint, list_models, checkpoints_list, checkpoint_titles, get_closet_checkpoint_match, model_hash, update_model_hashes, setup_model, write_metadata, read_metadata_from_safetensors # pylint: disable=unused-import model_dir = "Stable-diffusion" From b3d75d2c7d2456196bfd7ea80b4b9d35335a61f5 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 30 Oct 2024 09:44:07 -0400 Subject: [PATCH 02/22] hotkeys Signed-off-by: Vladimir Mandic --- javascript/script.js | 24 ++++++++++++++---------- wiki | 2 +- 2 files changed, 15 insertions(+), 11 deletions(-) diff --git a/javascript/script.js b/javascript/script.js index 6f52f4a3d..104567dd7 100644 --- a/javascript/script.js +++ b/javascript/script.js @@ -133,19 +133,23 @@ document.addEventListener('DOMContentLoaded', () => { }); /** - * Add a ctrl+enter as a shortcut to start a generation + * Add a listener to the document for keydown events */ document.addEventListener('keydown', (e) => { - let handled = false; - if (e.key !== undefined) { - if ((e.key === 'Enter' && (e.metaKey || e.ctrlKey || e.altKey))) handled = true; - } else if (e.keyCode !== undefined) { - if ((e.keyCode === 13 && (e.metaKey || e.ctrlKey || e.altKey))) handled = true; - } - if (handled) { - const button = getUICurrentTabContent().querySelector('button[id$=_generate]'); - if (button) button.click(); + let elem; + if (e.key === 'Escape') elem = getUICurrentTabContent().querySelector('button[id$=_interrupt]'); + if (e.key === 'Enter' && e.ctrlKey) elem = getUICurrentTabContent().querySelector('button[id$=_generate]'); + if (e.key === 'Backspace' && e.ctrlKey) elem = getUICurrentTabContent().querySelector('button[id$=_reprocess]'); + if (e.key === ' ' && e.ctrlKey) elem = getUICurrentTabContent().querySelector('button[id$=_extra_networks_btn]'); + if (e.key === 's' && e.ctrlKey) elem = getUICurrentTabContent().querySelector('button[id^=save_]'); + if (e.key === 'Insert' && e.ctrlKey) elem = getUICurrentTabContent().querySelector('button[id^=save_]'); + if (e.key === 'Delete' && e.ctrlKey) elem = getUICurrentTabContent().querySelector('button[id^=delete_]'); + // if (e.key === 'm' && e.ctrlKey) elem = gradioApp().getElementById('setting_sd_model_checkpoint'); + if (elem) { e.preventDefault(); + log('hotkey', { key: e.key, meta: e.metaKey, ctrl: e.ctrlKey, alt: e.altKey }, elem?.id, elem.nodeName); + if (elem.nodeName === 'BUTTON') elem.click(); + else elem.focus(); } }); diff --git a/wiki b/wiki index 4360bc7fc..f5a169ff9 160000 --- a/wiki +++ b/wiki @@ -1 +1 @@ -Subproject commit 4360bc7fcfd5dc301b825a6c5dcf4274c8eba983 +Subproject commit f5a169ff9e30f9157feec9d3e142d80d7e2ca31a From faa0bf53580ac910cb26d415f21933c8c55addfb Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 30 Oct 2024 12:26:07 -0400 Subject: [PATCH 03/22] add xyz optional time info Signed-off-by: Vladimir Mandic --- modules/images.py | 10 +++++++++- modules/images_grid.py | 18 +++++++++--------- scripts/xyz_grid.py | 29 +++++++++++++++-------------- scripts/xyz_grid_classes.py | 16 ++++++++-------- scripts/xyz_grid_draw.py | 22 ++++++++++++++++------ scripts/xyz_grid_on.py | 12 +++++++----- 6 files changed, 64 insertions(+), 43 deletions(-) diff --git a/modules/images.py b/modules/images.py index add7c5c7d..8e7ffd662 100644 --- a/modules/images.py +++ b/modules/images.py @@ -10,7 +10,7 @@ import threading import numpy as np import piexif import piexif.helper -from PIL import Image, PngImagePlugin, ExifTags +from PIL import Image, PngImagePlugin, ExifTags, ImageDraw from modules import sd_samplers, shared, script_callbacks, errors, paths from modules.images_grid import image_grid, get_grid_size, split_grid, combine_grid, check_grid_size, get_font, draw_grid_annotations, draw_prompt_matrix, GridAnnotation, Grid # pylint: disable=unused-import from modules.images_resize import resize_image # pylint: disable=unused-import @@ -361,6 +361,14 @@ def flatten(img, bgcolor): return img.convert('RGB') +def draw_overlay(im, text): + d = ImageDraw.Draw(im) + fontsize = (im.width + im.height) // 50 + font = get_font(fontsize) + d.text((fontsize//2, fontsize//2), text, font=font, fill=shared.opts.font_color) + return im + + def set_watermark(image, watermark): if shared.opts.image_watermark_position != 'none': # visible watermark wm_image = None diff --git a/modules/images_grid.py b/modules/images_grid.py index 194b0d1cd..51371a0fe 100644 --- a/modules/images_grid.py +++ b/modules/images_grid.py @@ -113,7 +113,7 @@ def get_font(fontsize): return ImageFont.truetype("javascript/notosans-nerdfont-regular.ttf", fontsize) -def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0, title=None): +def draw_grid_annotations(im, width, height, x_texts, y_texts, margin=0, title=None): def wrap(drawing, text, font, line_length): lines = [''] for word in text.split(): @@ -140,15 +140,15 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0, tit line_spacing = fontsize // 2 font = get_font(fontsize) color_inactive = (127, 127, 127) - pad_left = 0 if sum([sum([len(line.text) for line in lines]) for lines in ver_texts]) == 0 else width * 3 // 4 - cols = len(hor_texts) - rows = len(ver_texts) + pad_left = 0 if sum([sum([len(line.text) for line in lines]) for lines in y_texts]) == 0 else width * 3 // 4 + cols = len(x_texts) + rows = len(y_texts) # assert cols == len(hor_texts), f'bad number of horizontal texts: {len(hor_texts)}; must be {cols}' # assert rows == len(hor_texts), f'bad number of vertical texts: {len(ver_texts)}; must be {rows}' calc_img = Image.new("RGB", (1, 1), shared.opts.grid_background) calc_d = ImageDraw.Draw(calc_img) title_texts = [title] if title else [[GridAnnotation()]] - for texts, allowed_width in zip(hor_texts + ver_texts + title_texts, [width] * len(hor_texts) + [pad_left] * len(ver_texts) + [(width+margin)*cols]): + for texts, allowed_width in zip(x_texts + y_texts + title_texts, [width] * len(x_texts) + [pad_left] * len(y_texts) + [(width+margin)*cols]): items = [] + texts texts.clear() for line in items: @@ -158,8 +158,8 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0, tit bbox = calc_d.multiline_textbbox((0, 0), line.text, font=font) line.size = (bbox[2] - bbox[0], bbox[3] - bbox[1]) line.allowed_width = allowed_width - hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in hor_texts] - ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in ver_texts] + hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in x_texts] + ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in y_texts] pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2 title_pad = 0 if title: @@ -178,11 +178,11 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0, tit for col in range(cols): x = pad_left + (width + margin) * col + width / 2 y = (pad_top / 2 - hor_text_heights[col] / 2) + title_pad - draw_texts(d, x, y, hor_texts[col], font, fontsize) + draw_texts(d, x, y, x_texts[col], font, fontsize) for row in range(rows): x = pad_left / 2 y = (pad_top + (height + margin) * row + height / 2 - ver_text_heights[row] / 2) + title_pad - draw_texts(d, x, y, ver_texts[row], font, fontsize) + draw_texts(d, x, y, y_texts[row], font, fontsize) return result diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py index e8f649182..1ed305dd7 100644 --- a/scripts/xyz_grid.py +++ b/scripts/xyz_grid.py @@ -48,10 +48,11 @@ class Script(scripts.Script): csv_mode = gr.Checkbox(label='Text inputs', value=False, elem_id=self.elem_id("csv_mode"), container=False) draw_legend = gr.Checkbox(label='Legend', value=True, elem_id=self.elem_id("draw_legend"), container=False) no_fixed_seeds = gr.Checkbox(label='Random seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"), container=False) + include_time = gr.Checkbox(label='Add time info', value=False, elem_id=self.elem_id("include_time"), container=False) with gr.Column(): - no_grid = gr.Checkbox(label='Skip grid', value=False, elem_id=self.elem_id("no_xyz_grid"), container=False) - include_lone_images = gr.Checkbox(label='Sub-images', value=False, elem_id=self.elem_id("include_lone_images"), container=False) - include_sub_grids = gr.Checkbox(label='Sub-grids', value=False, elem_id=self.elem_id("include_sub_grids"), container=False) + include_grid = gr.Checkbox(label='Include main grid', value=True, elem_id=self.elem_id("no_xyz_grid"), container=False) + include_subgrids = gr.Checkbox(label='Include sub grids', value=False, elem_id=self.elem_id("include_sub_grids"), container=False) + include_images = gr.Checkbox(label='Include images', value=False, elem_id=self.elem_id("include_lone_images"), container=False) with gr.Row(): margin_size = gr.Slider(label="Grid margins", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size")) with gr.Row(): @@ -130,10 +131,9 @@ class Script(scripts.Script): (z_values_dropdown, lambda params:get_dropdown_update_from_params("Z",params)), ) - return [x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, no_grid, include_lone_images, include_sub_grids, margin_size] + return [x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, include_time, margin_size] - def run(self, p, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, no_grid, include_lone_images, include_sub_grids, margin_size): # pylint: disable=W0221 - shared.log.debug(f'xyzgrid: x_type={x_type}|x_values={x_values}|x_values_dropdown={x_values_dropdown}|y_type={y_type}|{y_values}={y_values}|{y_values_dropdown}={y_values_dropdown}|z_type={z_type}|z_values={z_values}|z_values_dropdown={z_values_dropdown}|draw_legend={draw_legend}|include_lone_images={include_lone_images}|include_sub_grids={include_sub_grids}|no_grid={no_grid}|margin_size={margin_size}') + def run(self, p, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, include_time, margin_size): # pylint: disable=W0221 if not no_fixed_seeds: processing.fix_seed(p) if not shared.opts.return_grid: @@ -307,38 +307,39 @@ class Script(scripts.Script): z_labels=[z_opt.format_value(p, z_opt, z) for z in zs], cell=cell, draw_legend=draw_legend, - include_lone_images=include_lone_images, - include_sub_grids=include_sub_grids, + include_lone_images=include_images, + include_sub_grids=include_subgrids, first_axes_processed=first_axes_processed, second_axes_processed=second_axes_processed, margin_size=margin_size, - no_grid=no_grid, + no_grid=not include_grid, + include_time=include_time, ) if not processed.images: return processed # It broke, no further handling needed. z_count = len(zs) processed.infotexts[:1+z_count] = grid_infotext[:1+z_count] # Set the grid infotexts to the real ones with extra_generation_params (1 main grid + z_count sub-grids) - if not include_lone_images: + if not include_images: # Don't need sub-images anymore, drop from list: - if no_grid and include_sub_grids: + if not include_grid and include_subgrids: processed.images = processed.images[:z_count] # we don't have the main grid image, and need zero additional sub-images else: processed.images = processed.images[:z_count+1] # we either have the main grid image, or need one sub-images if shared.opts.grid_save: # Auto-save main and sub-grids: - grid_count = z_count + ( 1 if not no_grid and z_count > 1 else 0 ) + grid_count = z_count + ( 1 if include_grid and z_count > 1 else 0 ) for g in range(grid_count): adj_g = g-1 if g > 0 else g info = processed.infotexts[g] prompt = processed.all_prompts[adj_g] seed = processed.all_seeds[adj_g] images.save_image(processed.images[g], p.outpath_grids, "grid", info=info, extension=shared.opts.grid_format, prompt=prompt, seed=seed, grid=True, p=processed) - if not include_sub_grids: # Done with sub-grids, drop all related information: + if not include_subgrids: # Done with sub-grids, drop all related information: for _sg in range(z_count): del processed.images[1] del processed.all_prompts[1] del processed.all_seeds[1] del processed.infotexts[1] - elif no_grid: + elif include_grid: del processed.infotexts[0] return processed diff --git a/scripts/xyz_grid_classes.py b/scripts/xyz_grid_classes.py index 335d66186..202482157 100644 --- a/scripts/xyz_grid_classes.py +++ b/scripts/xyz_grid_classes.py @@ -84,13 +84,13 @@ class SharedSettingsStackHelper(object): axis_options = [ AxisOption("Nothing", str, do_nothing, fmt=format_nothing), - AxisOption("[Model] Model", str, apply_checkpoint, cost=1.0, fmt=format_value, choices=lambda: sorted(sd_models.checkpoints_list)), + AxisOption("[Model] Model", str, apply_checkpoint, cost=1.0, fmt=format_value_add_label, choices=lambda: sorted(sd_models.checkpoints_list)), AxisOption("[Model] UNET", str, apply_unet, cost=0.8, choices=lambda: ['None'] + list(sd_unet.unet_dict)), AxisOption("[Model] VAE", str, apply_vae, cost=0.6, choices=lambda: ['None'] + list(sd_vae.vae_dict)), - AxisOption("[Model] Refiner", str, apply_refiner, cost=0.8, fmt=format_value, choices=lambda: ['None'] + sorted(sd_models.checkpoints_list)), + AxisOption("[Model] Refiner", str, apply_refiner, cost=0.8, fmt=format_value_add_label, choices=lambda: ['None'] + sorted(sd_models.checkpoints_list)), AxisOption("[Model] Text encoder", str, apply_te, cost=0.7, choices=shared_items.sd_te_items), - AxisOption("[Model] Dictionary", str, apply_dict, fmt=format_value, cost=0.9, choices=lambda: ['None'] + list(sd_models.checkpoints_list)), - AxisOption("[Prompt] Search & replace", str, apply_prompt, fmt=format_value), + AxisOption("[Model] Dictionary", str, apply_dict, fmt=format_value_add_label, cost=0.9, choices=lambda: ['None'] + list(sd_models.checkpoints_list)), + AxisOption("[Prompt] Search & replace", str, apply_prompt, fmt=format_value_add_label), AxisOption("[Prompt] Prompt order", str_permutations, apply_order, fmt=format_value_join_list), AxisOption("[Network] LoRA", str, apply_lora, cost=0.5, choices=list_lora), AxisOption("[Network] LoRA strength", float, apply_setting('extra_networks_default_multiplier')), @@ -109,8 +109,8 @@ axis_options = [ AxisOption("[Process] Model args", str, apply_task_args), AxisOption("[Process] Processing args", str, apply_processing), AxisOption("[Process] Server options", str, apply_options), - AxisOptionTxt2Img("[Sampler] Name", str, apply_sampler, fmt=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]), - AxisOptionImg2Img("[Sampler] Name", str, apply_sampler, fmt=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]), + AxisOptionTxt2Img("[Sampler] Name", str, apply_sampler, fmt=format_value_add_label, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]), + AxisOptionImg2Img("[Sampler] Name", str, apply_sampler, fmt=format_value_add_label, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]), AxisOption("[Sampler] Sigma method", str, apply_setting("schedulers_sigma"), choices=lambda: ['default', 'karras', 'beta', 'exponential']), AxisOption("[Sampler] Timestep spacing", str, apply_setting("schedulers_timestep_spacing"), choices=lambda: ['default', 'linspace', 'leading', 'trailing']), AxisOption("[Sampler] Timestep range", int, apply_setting("schedulers_timesteps_range")), @@ -122,7 +122,7 @@ axis_options = [ AxisOption("[Sampler] eta delta", float, apply_setting("eta_noise_seed_delta")), AxisOption("[Sampler] eta multiplier", float, apply_setting("scheduler_eta")), AxisOption("[Refine] Upscaler", str, apply_field("hr_upscaler"), cost=0.3, choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]), - AxisOption("[Refine] Sampler", str, apply_hr_sampler_name, fmt=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]), + AxisOption("[Refine] Sampler", str, apply_hr_sampler_name, fmt=format_value_add_label, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]), AxisOption("[Refine] Denoising strength", float, apply_field("denoising_strength")), AxisOption("[Refine] Hires steps", int, apply_field("hr_second_pass_steps")), AxisOption("[Refine] Guidance scale", float, apply_field("image_cfg_scale")), @@ -131,7 +131,7 @@ axis_options = [ AxisOption("[Refine] Refiner steps", float, apply_field("refiner_steps")), AxisOption("[Postprocess] Upscaler", str, apply_upscaler, cost=0.4, choices=lambda: [x.name for x in shared.sd_upscalers][1:]), AxisOption("[Postprocess] Context", str, apply_context, choices=lambda: ["Add with forward", "Remove with forward", "Add with backward", "Remove with backward"]), - AxisOption("[Postprocess] Detailer", str, apply_detailer, fmt=format_value), + AxisOption("[Postprocess] Detailer", str, apply_detailer, fmt=format_value_add_label), AxisOption("[HDR] Mode", int, apply_field("hdr_mode")), AxisOption("[HDR] Brightness", float, apply_field("hdr_brightness")), AxisOption("[HDR] Color", float, apply_field("hdr_color")), diff --git a/scripts/xyz_grid_draw.py b/scripts/xyz_grid_draw.py index 8f95e696b..9a9f2246c 100644 --- a/scripts/xyz_grid_draw.py +++ b/scripts/xyz_grid_draw.py @@ -4,23 +4,28 @@ from PIL import Image from modules import shared, images, processing -def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend, include_lone_images, include_sub_grids, first_axes_processed, second_axes_processed, margin_size, no_grid): # pylint: disable=unused-argument - hor_texts = [[images.GridAnnotation(x)] for x in x_labels] - ver_texts = [[images.GridAnnotation(y)] for y in y_labels] - title_texts = [[images.GridAnnotation(z)] for z in z_labels] +def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend, include_lone_images, include_sub_grids, first_axes_processed, second_axes_processed, margin_size, no_grid: False, include_time: False): # pylint: disable=unused-argument + x_texts = [[images.GridAnnotation(x)] for x in x_labels] + y_texts = [[images.GridAnnotation(y)] for y in y_labels] + z_texts = [[images.GridAnnotation(z)] for z in z_labels] list_size = (len(xs) * len(ys) * len(zs)) processed_result = None shared.state.job_count = list_size * p.n_iter t0 = time.time() + i = 0 def process_cell(x, y, z, ix, iy, iz): - nonlocal processed_result + nonlocal processed_result, i + i += 1 + shared.log.debug(f'XYZ grid process: x={ix+1}/{len(xs)} y={iy+1}/{len(ys)} z={iz+1}/{len(zs)} total={i/list_size:.2f}') def index(ix, iy, iz): return ix + iy * len(xs) + iz * len(xs) * len(ys) shared.state.job = 'grid' + p0 = time.time() processed: processing.Processed = cell(x, y, z, ix, iy, iz) + p1 = time.time() if processed_result is None: processed_result = copy(processed) if processed_result is None: @@ -30,13 +35,17 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend processed_result.all_prompts = [None] * list_size processed_result.all_seeds = [None] * list_size processed_result.infotexts = [None] * list_size + processed_result.time = [0] * list_size processed_result.index_of_first_image = 1 idx = index(ix, iy, iz) if processed is not None and processed.images: processed_result.images[idx] = processed.images[0] + if include_time: + processed_result.images[idx] = images.draw_overlay(processed_result.images[idx], f'time: {p1 - p0:.2f}') processed_result.all_prompts[idx] = processed.prompt processed_result.all_seeds[idx] = processed.seed processed_result.infotexts[idx] = processed.infotexts[0] + processed_result.time[idx] = round(p1 - p0, 2) else: cell_mode = "P" cell_size = (processed_result.width, processed_result.height) @@ -44,6 +53,7 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend cell_mode = processed_result.images[0].mode cell_size = processed_result.images[0].size processed_result.images[idx] = Image.new(cell_mode, cell_size) + return if first_axes_processed == 'x': for ix, x in enumerate(xs): @@ -93,7 +103,7 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend if (not no_grid or include_sub_grids) and images.check_grid_size(to_process): grid = images.image_grid(to_process, rows=len(ys)) if draw_legend: - grid = images.draw_grid_annotations(grid, w, h, hor_texts, ver_texts, margin_size, title=title_texts[i]) + grid = images.draw_grid_annotations(grid, w, h, x_texts, y_texts, margin_size, title=z_texts[i]) processed_result.images.insert(i, grid) processed_result.all_prompts.insert(i, processed_result.all_prompts[idx0]) processed_result.all_seeds.insert(i, processed_result.all_seeds[idx0]) diff --git a/scripts/xyz_grid_on.py b/scripts/xyz_grid_on.py index ac1bc4c2f..3298ee572 100644 --- a/scripts/xyz_grid_on.py +++ b/scripts/xyz_grid_on.py @@ -57,9 +57,10 @@ class Script(scripts.Script): draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"), container=False) csv_mode = gr.Checkbox(label='Use text inputs', value=False, elem_id=self.elem_id("csv_mode"), container=False) no_fixed_seeds = gr.Checkbox(label='Use random seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"), container=False) + include_time = gr.Checkbox(label='Add time info', value=False, elem_id=self.elem_id("include_time"), container=False) with gr.Column(): - include_grid = gr.Checkbox(label='Create main grid', value=True, elem_id=self.elem_id("no_xyz_grid"), container=False) - include_subgrids = gr.Checkbox(label='Create partial grids', value=False, elem_id=self.elem_id("include_sub_grids"), container=False) + include_grid = gr.Checkbox(label='Include main grid', value=True, elem_id=self.elem_id("no_xyz_grid"), container=False) + include_subgrids = gr.Checkbox(label='Include sub grids', value=False, elem_id=self.elem_id("include_sub_grids"), container=False) include_images = gr.Checkbox(label='Include images', value=False, elem_id=self.elem_id("include_lone_images"), container=False) with gr.Row(): margin_size = gr.Slider(label="Grid margins", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size")) @@ -139,9 +140,9 @@ class Script(scripts.Script): (z_values_dropdown, lambda params:get_dropdown_update_from_params("Z",params)), ) - return [enabled, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, margin_size] + return [enabled, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, include_time, margin_size] - def process(self, p, enabled, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, margin_size): # pylint: disable=W0221 + def process(self, p, enabled, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, include_time, margin_size): # pylint: disable=W0221 global active, cache # pylint: disable=W0603 cache = None if not enabled or active: @@ -327,6 +328,7 @@ class Script(scripts.Script): second_axes_processed=second_axes_processed, margin_size=margin_size, no_grid=not include_grid, + include_time=include_time, ) if not processed.images: @@ -355,5 +357,5 @@ class Script(scripts.Script): cache = processed return processed - def process_images(self, p, enabled, x_type, x_values, x_values_dropdown, y_type, y_values, y_values_dropdown, z_type, z_values, z_values_dropdown, csv_mode, draw_legend, no_fixed_seeds, include_grid, include_subgrids, include_images, margin_size): # pylint: disable=W0221, W0613 + def process_images(self, p, *args): # pylint: disable=W0221, W0613 return cache From 8b5f510528ab2112e7ecc0f9c0fec9102ac884f3 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 30 Oct 2024 14:24:12 -0400 Subject: [PATCH 04/22] add sd3 controlnets Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 10 + CITATION.cff | 2 +- LICENSE.txt | 864 +++++++--------------------- modules/control/run.py | 4 +- modules/control/units/controlnet.py | 38 +- modules/control/units/detect.py | 11 +- modules/sd_models.py | 11 +- package.json | 2 +- 8 files changed, 268 insertions(+), 674 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 39892eb0f..5deb1a928 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,15 @@ # Change Log for SD.Next +## Update for 2024-10-30 + +- XYZ grid: optional per-image time benchmark info +- UI: add additional [hotkeys](https://github.com/vladmandic/automatic/wiki/Hotkeys) +- SD3: support for ControlNets: + - *InstantX Canny, Pose, Depth, Tile* + - *Alimama Inpainting, SoftEdge* + - *note*: that just like with FLUX.1 or any large model, ControlNet are also large and can push your system over the limit + e.g. SD3 controlnets vary from 1GB to over 4GB in size + ## Update for 2024-10-29 ### Highlights for 2024-10-29 diff --git a/CITATION.cff b/CITATION.cff index f7fd4bba3..c39efe474 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -24,5 +24,5 @@ abstract: >- generation keywords: - stablediffusion diffusers sdnext -license: AGPL-3.0 +license: Apache-2.0 date-released: 2022-12-24 diff --git a/LICENSE.txt b/LICENSE.txt index 211d32e75..f49a4e16e 100644 --- a/LICENSE.txt +++ b/LICENSE.txt @@ -1,663 +1,201 @@ - GNU AFFERO GENERAL PUBLIC LICENSE - Version 3, 19 November 2007 - - Copyright (c) 2023 AUTOMATIC1111 - - Copyright (C) 2007 Free Software Foundation, Inc. - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - 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if shared.sd_model_type == 'f1' and 'control_image' not in p.task_args: - p.task_args['control_image'] = p.init_images # flux controlnet mandates this + if shared.sd_model_type in ['f1', 'sd3'] and 'control_image' not in p.task_args: + p.task_args['control_image'] = p.init_images # some controlnets mandate this p.task_args['strength'] = p.denoising_strength elif input_type == 1: # Init image same as control p.task_args['control_image'] = p.init_images # switch image and control_image diff --git a/modules/control/units/controlnet.py b/modules/control/units/controlnet.py index 236892eb5..48a3d440d 100644 --- a/modules/control/units/controlnet.py +++ b/modules/control/units/controlnet.py @@ -1,7 +1,7 @@ import os import time from typing import Union -from diffusers import StableDiffusionPipeline, StableDiffusionXLPipeline, FluxPipeline, ControlNetModel +from diffusers import StableDiffusionPipeline, StableDiffusionXLPipeline, FluxPipeline, StableDiffusion3Pipeline, ControlNetModel from modules.control.units import detect from modules.shared import log, opts, listdir from modules import errors, sd_models, devices, model_quant @@ -50,7 +50,6 @@ predefined_sdxl = { 'Depth Zoe XL': 'diffusers/controlnet-zoe-depth-sdxl-1.0', 'Depth Mid XL': 'diffusers/controlnet-depth-sdxl-1.0-mid', 'OpenPose XL': 'thibaud/controlnet-openpose-sdxl-1.0/bin', - # 'OpenPose XL': 'thibaud/controlnet-openpose-sdxl-1.0/OpenPoseXL2.safetensors', 'Xinsir Union XL': 'xinsir/controlnet-union-sdxl-1.0', 'Xinsir OpenPose XL': 'xinsir/controlnet-openpose-sdxl-1.0', 'Xinsir Canny XL': 'xinsir/controlnet-canny-sdxl-1.0', @@ -79,11 +78,20 @@ predefined_f1 = { "XLabs-AI Depth": 'XLabs-AI/flux-controlnet-depth-diffusers', "XLabs-AI HED": 'XLabs-AI/flux-controlnet-hed-diffusers' } +predefined_sd3 = { + "InstantX Canny": 'InstantX/SD3-Controlnet-Canny', + "InstantX Pose": 'InstantX/SD3-Controlnet-Pose', + "InstantX Depth": 'InstantX/SD3-Controlnet-Depth', + "InstantX Tile": 'InstantX/SD3-Controlnet-Tile', + "Alimama Inpainting": 'alimama-creative/SD3-Controlnet-Inpainting', + "Alimama SoftEdge": 'alimama-creative/SD3-Controlnet-Softedge', +} models = {} all_models = {} all_models.update(predefined_sd15) all_models.update(predefined_sdxl) all_models.update(predefined_f1) +all_models.update(predefined_sd3) cache_dir = 'models/control/controlnet' @@ -118,9 +126,11 @@ def list_models(refresh=False): models = ['None'] + list(predefined_sd15) + sorted(find_models()) elif modules.shared.sd_model_type == 'f1': models = ['None'] + list(predefined_f1) + sorted(find_models()) + elif modules.shared.sd_model_type == 'sd3': + models = ['None'] + list(predefined_sd3) + sorted(find_models()) else: log.warning(f'Control {what} model list failed: unknown model type') - models = ['None'] + sorted(predefined_sd15) + sorted(predefined_sdxl) + sorted(find_models()) + models = ['None'] + sorted(predefined_sd15) + sorted(predefined_sdxl) + sorted(predefined_f1) + sorted(predefined_sd3) + sorted(find_models()) debug(f'Control list {what}: path={cache_dir} models={models}') return models @@ -151,6 +161,8 @@ class ControlNet(): from diffusers import ControlNetModel as model_class # pylint: disable=reimported # sdxl shares same model class elif modules.shared.sd_model_type == 'f1': from diffusers import FluxControlNetModel as model_class + elif modules.shared.sd_model_type == 'sd3': + from diffusers import SD3ControlNetModel as model_class else: log.error(f'Control {what}: type={modules.shared.sd_model_type} unsupported model') return None @@ -247,7 +259,11 @@ class ControlNet(): class ControlNetPipeline(): - def __init__(self, controlnet: Union[ControlNetModel, list[ControlNetModel]], pipeline: Union[StableDiffusionXLPipeline, StableDiffusionPipeline, FluxPipeline], dtype = None): + def __init__(self, + controlnet: Union[ControlNetModel, list[ControlNetModel]], + pipeline: Union[StableDiffusionXLPipeline, StableDiffusionPipeline, FluxPipeline, StableDiffusion3Pipeline], + dtype = None, + ): t0 = time.time() self.orig_pipeline = pipeline self.pipeline = None @@ -293,6 +309,20 @@ class ControlNetPipeline(): scheduler=pipeline.scheduler, controlnet=controlnet, # can be a list ) + elif detect.is_sd3(pipeline): + from diffusers import StableDiffusion3ControlNetPipeline + self.pipeline = StableDiffusion3ControlNetPipeline( + vae=pipeline.vae, + text_encoder=pipeline.text_encoder, + text_encoder_2=pipeline.text_encoder_2, + text_encoder_3=pipeline.text_encoder_3, + tokenizer=pipeline.tokenizer, + tokenizer_2=pipeline.tokenizer_2, + tokenizer_3=pipeline.tokenizer_3, + transformer=pipeline.transformer, + scheduler=pipeline.scheduler, + controlnet=controlnet, # can be a list + ) else: log.error(f'Control {what} pipeline: class={pipeline.__class__.__name__} unsupported model type') return diff --git a/modules/control/units/detect.py b/modules/control/units/detect.py index 70a1c8000..7cc8d144d 100644 --- a/modules/control/units/detect.py +++ b/modules/control/units/detect.py @@ -20,5 +20,12 @@ def is_f1(model): if model is None: return False if hasattr(model, '__name__'): - return model.__name__ == p.FluxPipeline.__name__ - return isinstance(model, p.FluxPipeline) + return model.__name__ == p.FluxPipeline.__name__ or model.__name__ == p.FluxImg2ImgPipeline.__name__ or model.__name__ == p.FluxInpaintPipeline.__name__ + return isinstance(model, p.FluxPipeline) or isinstance(model, p.FluxImg2ImgPipeline) or isinstance(model, p.FluxInpaintPipeline) + +def is_sd3(model): + if model is None: + return False + if hasattr(model, '__name__'): + return model.__name__ == p.StableDiffusion3Pipeline.__name__ or model.__name__ == p.StableDiffusion3Img2ImgPipeline.__name__ or model.__name__ == p.StableDiffusion3InpaintPipeline.__name__ + return isinstance(model, p.StableDiffusion3Pipeline) or isinstance(model, p.StableDiffusion3Img2ImgPipeline) or isinstance(model, p.StableDiffusion3InpaintPipeline) diff --git a/modules/sd_models.py b/modules/sd_models.py index a925b207e..3afc81e67 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -1052,6 +1052,15 @@ def clean_diffuser_pipe(pipe): def set_diffuser_pipe(pipe, new_pipe_type): + exclude = [ + 'StableDiffusionReferencePipeline', + 'StableDiffusionAdapterPipeline', + 'AnimateDiffPipeline', + 'AnimateDiffSDXLPipeline', + 'OmniGenPipeline', + 'StableDiffusion3ControlNetPipeline', + ] + n = getattr(pipe.__class__, '__name__', '') if new_pipe_type == DiffusersTaskType.TEXT_2_IMAGE: clean_diffuser_pipe(pipe) @@ -1060,7 +1069,7 @@ def set_diffuser_pipe(pipe, new_pipe_type): return pipe # skip specific pipelines - if n in ['StableDiffusionReferencePipeline', 'StableDiffusionAdapterPipeline', 'AnimateDiffPipeline', 'AnimateDiffSDXLPipeline', 'OmniGenPipeline']: + if n in exclude: return pipe if 'Onnx' in pipe.__class__.__name__: return pipe diff --git a/package.json b/package.json index 2c0fa6b50..bf5a366ea 100644 --- a/package.json +++ b/package.json @@ -7,7 +7,7 @@ "url": "https://github.com/vladmandic/automatic/issues" }, "homepage": "https://github.com/vladmandic/automatic", - "license": "AGPLv3", + "license": "Apache-2.0", "engines": { "node": ">=14.0.0" }, From a6baf51b136e99b3335871c309cc5178d5311231 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 30 Oct 2024 18:03:38 -0400 Subject: [PATCH 05/22] revert license Signed-off-by: Vladimir Mandic --- LICENSE.txt | 798 +++++++++++++++++++++++++++++++++++++++++----------- 1 file changed, 629 insertions(+), 169 deletions(-) diff --git a/LICENSE.txt b/LICENSE.txt index f49a4e16e..0ad25db4b 100644 --- a/LICENSE.txt +++ b/LICENSE.txt @@ -1,201 +1,661 @@ - 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Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published + by the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. From abfb197504c57d8e854dfd3e7d13537bc30d4a8e Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 30 Oct 2024 19:30:52 -0400 Subject: [PATCH 06/22] sd35 all-in-one safetensors support Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 3 +++ modules/model_quant.py | 10 ++++++--- modules/model_sd3.py | 10 ++++++--- modules/model_tools.py | 49 ++++++++++++++++++++++++++++++++++++++++++ modules/sd_detect.py | 2 ++ modules/sd_models.py | 10 --------- 6 files changed, 68 insertions(+), 16 deletions(-) create mode 100644 modules/model_tools.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 5deb1a928..71e8a667e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,6 +9,9 @@ - *Alimama Inpainting, SoftEdge* - *note*: that just like with FLUX.1 or any large model, ControlNet are also large and can push your system over the limit e.g. SD3 controlnets vary from 1GB to over 4GB in size +- SD3: support for all-in-one safetensors + - examples: [large](https://civitai.com/models/882666/sd35-large-google-flan?modelVersionId=1003031) [medium](https://civitai.com/models/900327) + - *note*: enable bnb on-the-fly quantization for even bigger gains ## Update for 2024-10-29 diff --git a/modules/model_quant.py b/modules/model_quant.py index fab3a93a0..547a3d7ae 100644 --- a/modules/model_quant.py +++ b/modules/model_quant.py @@ -7,10 +7,10 @@ bnb = None quanto = None -def create_bnb_config(kwargs): +def create_bnb_config(kwargs = None): from modules import shared, devices if len(shared.opts.bnb_quantization) > 0: - if 'Model' in shared.opts.bnb_quantization and 'transformer' not in kwargs: + if 'Model' in shared.opts.bnb_quantization and 'transformer' not in (kwargs or {}): load_bnb() bnb_config = diffusers.BitsAndBytesConfig( load_in_8bit=shared.opts.bnb_quantization_type in ['fp8'], @@ -19,8 +19,12 @@ def create_bnb_config(kwargs): bnb_4bit_quant_type=shared.opts.bnb_quantization_type, bnb_4bit_compute_dtype=devices.dtype ) - kwargs['quantization_config'] = bnb_config shared.log.debug(f'Quantization: module=all type=bnb dtype={shared.opts.bnb_quantization_type} storage={shared.opts.bnb_quantization_storage}') + if kwargs is None: + return bnb_config + else: + kwargs['quantization_config'] = bnb_config + return kwargs return kwargs diff --git a/modules/model_sd3.py b/modules/model_sd3.py index e369b197a..fc817dc4b 100644 --- a/modules/model_sd3.py +++ b/modules/model_sd3.py @@ -1,7 +1,7 @@ import os import diffusers import transformers -from modules import shared, devices, sd_models, sd_unet, model_te, model_quant +from modules import shared, devices, sd_models, sd_unet, model_te, model_quant, model_tools def load_overrides(kwargs, cache_dir): @@ -69,7 +69,7 @@ def load_quants(kwargs, repo_id, cache_dir): def load_missing(kwargs, fn, cache_dir): - keys = sd_models.get_safetensor_keys(fn) + keys = model_tools.get_safetensor_keys(fn) size = os.stat(fn).st_size // 1024 // 1024 if size > 15000: repo_id = 'stabilityai/stable-diffusion-3.5-large' @@ -129,7 +129,11 @@ def load_sd3(checkpoint_info, cache_dir=None, config=None): if fn is not None and os.path.exists(fn) and os.path.isfile(fn): if fn.endswith('.safetensors'): loader = diffusers.StableDiffusion3Pipeline.from_single_file - kwargs = load_missing(kwargs, fn, cache_dir) + # required_modules = model_tools.get_modules(diffusers.StableDiffusion3Pipeline) + # have_modules = model_tools.get_safetensor_keys(fn) + # loaded_modules = model_tools.load_modules('stabilityai/stable-diffusion-3.5-medium', required_modules) + # kwargs = {**kwargs, **loaded_modules} + # kwargs = load_missing(kwargs, fn, cache_dir) repo_id = fn elif fn.endswith('.gguf'): kwargs = load_gguf(kwargs, fn) diff --git a/modules/model_tools.py b/modules/model_tools.py new file mode 100644 index 000000000..1212da244 --- /dev/null +++ b/modules/model_tools.py @@ -0,0 +1,49 @@ +import inspect +import diffusers +import transformers +import safetensors.torch +from modules import shared, devices, model_quant + + +def get_safetensor_keys(filename): + keys = [] + try: + with safetensors.torch.safe_open(filename, framework="pt", device="cpu") as f: + keys = f.keys() + except Exception as e: + shared.log.error(f'Load dict: path="{filename}" {e}') + return keys + + +def get_modules(model: callable): + signature = inspect.signature(model.__init__, follow_wrapped=True) + params = {param.name: param.annotation for param in signature.parameters.values() if param.annotation != inspect._empty and hasattr(param.annotation, 'from_pretrained')} # pylint: disable=protected-access + for name, cls in params.items(): + shared.log.debug(f'Analyze: model={model} module={name} class={cls.__name__} loadable={getattr(cls, "from_pretrained", None)}') + return params + + +def load_modules(repo_id: str, params: dict): + cache_dir = shared.opts.hfcache_dir + modules = {} + for name, cls in params.items(): + subfolder = None + kwargs = {} + if cls == diffusers.AutoencoderKL: + subfolder = 'vae' + if cls == transformers.CLIPTextModel: # clip-vit-l + subfolder = 'text_encoder' + if cls == transformers.CLIPTextModelWithProjection: # clip-vit-g + subfolder = 'text_encoder_2' + if cls == transformers.T5EncoderModel: # t5-xxl + subfolder = 'text_encoder_3' + kwargs['quantization_config'] = model_quant.create_bnb_config() + kwargs['variant'] = 'fp16' + if cls == diffusers.SD3Transformer2DModel: + subfolder = 'transformer' + kwargs['quantization_config'] = model_quant.create_bnb_config() + if subfolder is None: + continue + shared.log.debug(f'Load: module={name} class={cls.__name__} repo={repo_id} location={subfolder}') + modules[name] = cls.from_pretrained(repo_id, subfolder=subfolder, cache_dir=cache_dir, torch_dtype=devices.dtype, **kwargs) + return modules diff --git a/modules/sd_detect.py b/modules/sd_detect.py index 7144a7be7..148e788d5 100644 --- a/modules/sd_detect.py +++ b/modules/sd_detect.py @@ -84,6 +84,8 @@ def detect_pipeline(f: str, op: str = 'model', warning=True, quiet=False): if 'omnigen' in f.lower(): guess = 'OmniGen' pipeline = 'custom' + if 'sd3' in f.lower(): + guess = 'Stable Diffusion 3' if 'flux' in f.lower(): guess = 'FLUX' if size > 11000 and size < 20000: diff --git a/modules/sd_models.py b/modules/sd_models.py index 3afc81e67..7743ce27d 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -75,16 +75,6 @@ def read_state_dict(checkpoint_file, map_location=None, what:str='model'): # pyl return sd -def get_safetensor_keys(filename): - keys = [] - try: - with safetensors.torch.safe_open(filename, framework="pt", device="cpu") as f: - keys = f.keys() - except Exception as e: - shared.log.error(f'Load dict: path="{filename}" {e}') - return keys - - def get_state_dict_from_checkpoint(pl_sd): checkpoint_dict_replacements = { 'cond_stage_model.transformer.embeddings.': 'cond_stage_model.transformer.text_model.embeddings.', From 4473f538bdb1d66fd4af2ebff5dffe95c17b966e Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Thu, 31 Oct 2024 10:37:42 -0400 Subject: [PATCH 07/22] changelog management, move assets Signed-off-by: Vladimir Mandic --- .eslintrc.json | 2 + CHANGELOG.md | 10 +- README.md | 104 +++------- html/card-no-preview.png | Bin 448624 -> 103803 bytes html/screenshot-color.jpg | Bin 78314 -> 0 bytes html/screenshot-control.jpg | Bin 93916 -> 0 bytes html/screenshot-corrections.jpg | Bin 106478 -> 0 bytes html/screenshot-differential.jpg | Bin 64212 -> 0 bytes html/screenshot-instantid.jpg | Bin 64928 -> 0 bytes html/screenshot-ipadapter-mask.jpg | Bin 200702 -> 0 bytes html/screenshot-ipadapter.jpg | Bin 101550 -> 0 bytes html/screenshot-ipadapter02.jpg | Bin 103711 -> 0 bytes html/screenshot-ledit.jpg | Bin 67337 -> 0 bytes html/screenshot-mask.jpg | Bin 94525 -> 0 bytes html/screenshot-modernui-control.jpg | Bin 157697 -> 0 bytes html/screenshot-modernui-f1.jpg | Bin 165635 -> 0 bytes html/screenshot-modernui-img2img.jpg | Bin 158960 -> 0 bytes html/screenshot-modernui-sd3.jpg | Bin 197627 -> 0 bytes html/screenshot-modernui.jpg | Bin 157944 -> 0 bytes html/screenshot-outpaint.jpg | Bin 102817 -> 0 bytes html/screenshot-processors.jpg | Bin 82001 -> 0 bytes html/screenshot-regional.jpg | Bin 66124 -> 0 bytes html/screenshot-text2image.jpg | Bin 104309 -> 0 bytes installer.py | 71 +++---- javascript/changelog.js | 73 +++++++ javascript/sdnext.css | 6 + javascript/startup.js | 1 + modules/cmd_args.py | 216 ++++++++++++--------- modules/generation_parameters_copypaste.py | 2 +- modules/postprocessing.py | 1 - modules/shared.py | 2 +- modules/ui.py | 19 +- requirements.txt | 2 +- 33 files changed, 293 insertions(+), 216 deletions(-) delete mode 100644 html/screenshot-color.jpg delete mode 100644 html/screenshot-control.jpg delete mode 100644 html/screenshot-corrections.jpg delete mode 100644 html/screenshot-differential.jpg delete mode 100644 html/screenshot-instantid.jpg delete mode 100644 html/screenshot-ipadapter-mask.jpg delete mode 100644 html/screenshot-ipadapter.jpg delete mode 100644 html/screenshot-ipadapter02.jpg delete mode 100644 html/screenshot-ledit.jpg delete mode 100644 html/screenshot-mask.jpg delete mode 100644 html/screenshot-modernui-control.jpg delete mode 100644 html/screenshot-modernui-f1.jpg delete mode 100644 html/screenshot-modernui-img2img.jpg delete mode 100644 html/screenshot-modernui-sd3.jpg delete mode 100644 html/screenshot-modernui.jpg delete mode 100644 html/screenshot-outpaint.jpg delete mode 100644 html/screenshot-processors.jpg delete mode 100644 html/screenshot-regional.jpg delete mode 100644 html/screenshot-text2image.jpg create mode 100644 javascript/changelog.js diff --git a/.eslintrc.json b/.eslintrc.json index 22a9edee5..7ea7b8dae 100644 --- a/.eslintrc.json +++ b/.eslintrc.json @@ -112,6 +112,8 @@ "idbPut": "readonly", "idbDel": "readonly", "idbAdd": "readonly", + // changelog.js + "initChangelog": "readonly", // notification.js "sendNotification": "readonly" }, diff --git a/CHANGELOG.md b/CHANGELOG.md index 71e8a667e..b3f2a9fb7 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,17 +1,23 @@ # Change Log for SD.Next -## Update for 2024-10-30 +## Update for 2024-10-31 - XYZ grid: optional per-image time benchmark info - UI: add additional [hotkeys](https://github.com/vladmandic/automatic/wiki/Hotkeys) +- Docs: since [changelog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) is the up-to-date source of info + - go to system -> changelog and search/highligh/navigate directly in UI! - SD3: support for ControlNets: - *InstantX Canny, Pose, Depth, Tile* - *Alimama Inpainting, SoftEdge* - *note*: that just like with FLUX.1 or any large model, ControlNet are also large and can push your system over the limit e.g. SD3 controlnets vary from 1GB to over 4GB in size - SD3: support for all-in-one safetensors - - examples: [large](https://civitai.com/models/882666/sd35-large-google-flan?modelVersionId=1003031) [medium](https://civitai.com/models/900327) + - *examples*: [large](https://civitai.com/models/882666/sd35-large-google-flan?modelVersionId=1003031), [medium](https://civitai.com/models/900327) - *note*: enable bnb on-the-fly quantization for even bigger gains +- CLI: refactor command line params + - run `webui.sh`/`webui.bat` with `--help` to see all options +- Repo: move screenshots to GH pages +- Update requirements ## Update for 2024-10-29 diff --git a/README.md b/README.md index ac96b2e32..a2caa5cb7 100644 --- a/README.md +++ b/README.md @@ -50,12 +50,13 @@ All individual features are not listed here, instead check [ChangeLog](CHANGELOG
*Main interface using **StandardUI***: -![Screenshot-Dark](html/screenshot-text2image.jpg) +![screenshot-text2image](https://github.com/user-attachments/assets/87ac2813-65c2-45f4-80b8-67b26ccf5cd6) *Main interface using **ModernUI***: -![Screenshot-Dark](html/screenshot-modernui-f1.jpg) -![Screenshot-Dark](html/screenshot-modernui.jpg) -![Screenshot-Dark](html/screenshot-modernui-sd3.jpg) + +![screenshot-modernui-f1](https://github.com/user-attachments/assets/b509a280-8d3b-48b5-8525-363bad8c1ed2) +![screenshot-modernui](https://github.com/user-attachments/assets/fef33127-f733-4e78-b66e-17729539512f) +![screenshot-modernui-sd3](https://github.com/user-attachments/assets/1ed02ecc-23e4-4fda-8ae5-2d7393dc530c) For screenshots and informations on other available themes, see [Themes Wiki](https://github.com/vladmandic/automatic/wiki/Themes) @@ -63,12 +64,13 @@ For screenshots and informations on other available themes, see [Themes Wiki](ht ## Model support -Additional models will be added as they become available and there is public interest in them +Additional models will be added as they become available and there is public interest in them +See [models overview](https://github.com/vladmandic/automatic/wiki/Models) for details on each model, including their architecture, complexity and other info - [RunwayML Stable Diffusion](https://github.com/Stability-AI/stablediffusion/) 1.x and 2.x *(all variants)* - [StabilityAI Stable Diffusion XL](https://github.com/Stability-AI/generative-models) -- [StabilityAI Stable Diffusion 3 Medium](https://stability.ai/news/stable-diffusion-3-medium) -- [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) +- [StabilityAI Stable Diffusion](https://stability.ai/news/stable-diffusion-3-medium) +- [Stable Diffusion 3.x](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) 3.0 Medium, 3.5 Medium, 3.5 Large, 3.5 Large Turbo - [StabilityAI Stable Video Diffusion](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid) Base, XT 1.0, XT 1.1 - [StabilityAI Stable Cascade](https://github.com/Stability-AI/StableCascade) *Full* and *Lite* - [Black Forest Labs FLUX.1](https://blackforestlabs.ai/announcing-black-forest-labs/) Dev, Schnell @@ -136,13 +138,13 @@ Also supported are modifiers such as: ## Examples *IP Adapters*: -![Screenshot-IPAdapter](html/screenshot-ipadapter.jpg) +![screenshot-ipadapter](https://github.com/user-attachments/assets/92830894-845c-49ec-92d9-18c8a577d04f) *Color grading*: -![Screenshot-Color](html/screenshot-color.jpg) +![screenshot-control](https://github.com/user-attachments/assets/cdad2722-ae7c-4c9c-94d6-5ea35a4b1356) *InstantID*: -![Screenshot-InstantID](html/screenshot-instantid.jpg) +![screenshot-instantid](https://github.com/user-attachments/assets/f38a5660-32b3-4235-9da1-c79eccf5372f) > [!IMPORTANT] > - Loading any model other than standard SD 1.x / SD 2.x requires use of backend **Diffusers** @@ -173,92 +175,34 @@ Also supported are modifiers such as: Once SD.Next is installed, simply run `webui.ps1` or `webui.bat` (*Windows*) or `webui.sh` (*Linux or MacOS*) -List of available parameters, run `webui --help` for the full & up-to-date list: +For list of available command line options, run `webui --help` for the full & up-to-date list - Server options: - --config CONFIG Use specific server configuration file, default: config.json - --ui-config UI_CONFIG Use specific UI configuration file, default: ui-config.json - --medvram Split model stages and keep only active part in VRAM, default: False - --lowvram Split model components and keep only active part in VRAM, default: False - --ckpt CKPT Path to model checkpoint to load immediately, default: None - --vae VAE Path to VAE checkpoint to load immediately, default: None - --data-dir DATA_DIR Base path where all user data is stored, default: - --models-dir MODELS_DIR Base path where all models are stored, default: models - --allow-code Allow custom script execution, default: False - --share Enable UI accessible through Gradio site, default: False - --insecure Enable extensions tab regardless of other options, default: False - --use-cpu USE_CPU [USE_CPU ...] Force use CPU for specified modules, default: [] - --listen Launch web server using public IP address, default: False - --port PORT Launch web server with given server port, default: 7860 - --freeze Disable editing settings - --auth AUTH Set access authentication like "user:pwd,user:pwd"" - --auth-file AUTH_FILE Set access authentication using file, default: None - --autolaunch Open the UI URL in the system's default browser upon launch - --docs Mount API docs, default: False - --api-only Run in API only mode without starting UI - --api-log Enable logging of all API requests, default: False - --device-id DEVICE_ID Select the default CUDA device to use, default: None - --cors-origins CORS_ORIGINS Allowed CORS origins as comma-separated list, default: None - --cors-regex CORS_REGEX Allowed CORS origins as regular expression, default: None - --tls-keyfile TLS_KEYFILE Enable TLS and specify key file, default: None - --tls-certfile TLS_CERTFILE Enable TLS and specify cert file, default: None - --tls-selfsign Enable TLS with self-signed certificates, default: False - --server-name SERVER_NAME Sets hostname of server, default: None - --no-hashing Disable hashing of checkpoints, default: False - --no-metadata Disable reading of metadata from models, default: False - --disable-queue Disable queues, default: False - --subpath SUBPATH Customize the URL subpath for usage with reverse proxy - --backend {original,diffusers} force model pipeline type - --allowed-paths ALLOWED_PATHS [ALLOWED_PATHS ...] add additional paths to paths allowed for web access - - Setup options: - --reset Reset main repository to latest version, default: False - --upgrade Upgrade main repository to latest version, default: False - --requirements Force re-check of requirements, default: False - --quick Bypass version checks, default: False - --use-directml Use DirectML if no compatible GPU is detected, default: False - --use-openvino Use Intel OpenVINO backend, default: False - --use-ipex Force use Intel OneAPI XPU backend, default: False - --use-cuda Force use nVidia CUDA backend, default: False - --use-rocm Force use AMD ROCm backend, default: False - --use-zluda Force use ZLUDA, AMD GPUs only, default: False - --use-xformers Force use xFormers cross-optimization, default: False - --skip-requirements Skips checking and installing requirements, default: False - --skip-extensions Skips running individual extension installers, default: False - --skip-git Skips running all GIT operations, default: False - --skip-torch Skips running Torch checks, default: False - --skip-all Skips running all checks, default: False - --skip-env Skips setting of env variables during startup, default: False - --experimental Allow unsupported versions of libraries, default: False - --reinstall Force reinstallation of all requirements, default: False - --test Run test only and exit - --version Print version information - --ignore Ignore any errors and attempt to continue - --safe Run in safe mode with no user extensions - --uv Use uv as installer, default: False - - Logging options: - --log LOG Set log file, default: None - --debug Run installer with debug logging, default: False - --profile Run profiler, default: False +> [!TIP] +> All command line options can also be set via env variable +> For example `--debug` is same as `set SD_DEBUG=true` ## Notes > [!TIP] > If you don't want to use built-in `venv` support and prefer to run SD.Next in your own environment such as *Docker* container, *Conda* environment or any other virtual environment, you can skip `venv` create/activate and launch SD.Next directly using `python launch.py` (command line flags noted above still apply). +### Quantization + +**SD.Next** comes with broad quantization support, including support for BitsAndBytes, Optimum.Quanto, TorchAO, NNCF and GGUF +See [Quantization Wiki](https://github.com/vladmandic/automatic/wiki/Quantization) + ### Control **SD.Next** comes with built-in control for all types of text2image, image2image, video2video and batch processing *Control interface*: -![Screenshot-Control](html/screenshot-control.jpg) +![screenshot-control](https://github.com/user-attachments/assets/cdad2722-ae7c-4c9c-94d6-5ea35a4b1356) *Control processors*: -![Screenshot-Process](html/screenshot-processors.jpg) +![screenshot-processors](https://github.com/user-attachments/assets/7bccb82b-366e-4bdb-ae57-cc53fac95d3c) *Masking*: -![Screenshot-Mask](html/screenshot-mask.jpg) +![screenshot-mask](https://github.com/user-attachments/assets/4b057e65-64f0-44ea-93b4-c3b69bc55532) ### Extensions diff --git a/html/card-no-preview.png b/html/card-no-preview.png index 352b0a9df358eb6340a48752ed6ffc2710350b95..6b89aad1abf262b46fbc45bc2ed7ed5f82eb8566 100644 GIT binary patch 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