diff --git a/.github/workflows/on_pull_request.yaml b/.github/workflows/on_pull_request.yaml index 9e44c806a..c595b80aa 100644 --- a/.github/workflows/on_pull_request.yaml +++ b/.github/workflows/on_pull_request.yaml @@ -11,8 +11,8 @@ jobs: if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name steps: - name: Checkout Code - uses: actions/checkout@v3 - - uses: actions/setup-python@v4 + uses: actions/checkout@v4 + - uses: actions/setup-python@v5 with: python-version: 3.11 # NB: there's no cache: pip here since we're not installing anything @@ -29,9 +29,9 @@ jobs: if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name steps: - name: Checkout Code - uses: actions/checkout@v3 + uses: actions/checkout@v4 - name: Install Node.js - uses: actions/setup-node@v3 + uses: actions/setup-node@v4 with: node-version: 18 - run: npm i --ci diff --git a/.github/workflows/run_tests.yaml b/.github/workflows/run_tests.yaml index f42e4758e..0610f4f54 100644 --- a/.github/workflows/run_tests.yaml +++ b/.github/workflows/run_tests.yaml @@ -11,9 +11,9 @@ jobs: if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name != github.event.pull_request.base.repo.full_name steps: - name: Checkout Code - uses: actions/checkout@v3 + uses: actions/checkout@v4 - name: Set up Python 3.10 - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: 3.10.6 cache: pip @@ -22,7 +22,7 @@ jobs: launch.py - name: Cache models id: cache-models - uses: actions/cache@v3 + uses: actions/cache@v4 with: path: models key: "2023-12-30" @@ -68,13 +68,13 @@ jobs: python -m coverage report -i python -m coverage html -i - name: Upload main app output - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: always() with: name: output path: output.txt - name: Upload coverage HTML - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 if: always() with: name: htmlcov diff --git a/README.md b/README.md index f4cfcf290..bc08e7ad1 100644 --- a/README.md +++ b/README.md @@ -98,6 +98,7 @@ Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-di - [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) - [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs. - [Intel CPUs, Intel GPUs (both integrated and discrete)](https://github.com/openvinotoolkit/stable-diffusion-webui/wiki/Installation-on-Intel-Silicon) (external wiki page) +- [Ascend NPUs](https://github.com/wangshuai09/stable-diffusion-webui/wiki/Install-and-run-on-Ascend-NPUs) (external wiki page) Alternatively, use online services (like Google Colab): diff --git a/extensions-builtin/Lora/network.py b/extensions-builtin/Lora/network.py index 183f8bd7c..473ba29e8 100644 --- a/extensions-builtin/Lora/network.py +++ b/extensions-builtin/Lora/network.py @@ -173,7 +173,7 @@ class NetworkModule: orig_weight = orig_weight.to(updown) merged_scale1 = updown + orig_weight dora_merged = ( - merged_scale1 / merged_scale1(dim=self.dora_mean_dim, keepdim=True) * self.dora_scale + merged_scale1 / merged_scale1.mean(dim=self.dora_mean_dim, keepdim=True) * self.dora_scale ) final_updown = dora_merged - orig_weight return final_updown diff --git a/extensions-builtin/Lora/network_oft.py b/extensions-builtin/Lora/network_oft.py index 7821a8a7d..1c515ebb7 100644 --- a/extensions-builtin/Lora/network_oft.py +++ b/extensions-builtin/Lora/network_oft.py @@ -36,13 +36,6 @@ class NetworkModuleOFT(network.NetworkModule): # self.alpha is unused self.dim = self.oft_blocks.shape[1] # (num_blocks, block_size, block_size) - # LyCORIS BOFT - if self.oft_blocks.dim() == 4: - self.is_boft = True - self.rescale = weights.w.get('rescale', None) - if self.rescale is not None: - self.rescale = self.rescale.reshape(-1, *[1]*(self.org_module[0].weight.dim() - 1)) - is_linear = type(self.sd_module) in [torch.nn.Linear, torch.nn.modules.linear.NonDynamicallyQuantizableLinear] is_conv = type(self.sd_module) in [torch.nn.Conv2d] is_other_linear = type(self.sd_module) in [torch.nn.MultiheadAttention] # unsupported @@ -54,6 +47,13 @@ class NetworkModuleOFT(network.NetworkModule): elif is_other_linear: self.out_dim = self.sd_module.embed_dim + # LyCORIS BOFT + if self.oft_blocks.dim() == 4: + self.is_boft = True + self.rescale = weights.w.get('rescale', None) + if self.rescale is not None and not is_other_linear: + self.rescale = self.rescale.reshape(-1, *[1]*(self.org_module[0].weight.dim() - 1)) + self.num_blocks = self.dim self.block_size = self.out_dim // self.dim self.constraint = (0 if self.alpha is None else self.alpha) * self.out_dim diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js index 625c5d148..d4d4f016d 100644 --- a/javascript/imageviewer.js +++ b/javascript/imageviewer.js @@ -131,19 +131,15 @@ function setupImageForLightbox(e) { e.style.cursor = 'pointer'; e.style.userSelect = 'none'; - var isFirefox = navigator.userAgent.toLowerCase().indexOf('firefox') > -1; - - // For Firefox, listening on click first switched to next image then shows the lightbox. - // If you know how to fix this without switching to mousedown event, please. - // For other browsers the event is click to make it possiblr to drag picture. - var event = isFirefox ? 'mousedown' : 'click'; - - e.addEventListener(event, function(evt) { + e.addEventListener('mousedown', function(evt) { if (evt.button == 1) { open(evt.target.src); evt.preventDefault(); return; } + }, true); + + e.addEventListener('click', function(evt) { if (!opts.js_modal_lightbox || evt.button != 0) return; modalZoomSet(gradioApp().getElementById('modalImage'), opts.js_modal_lightbox_initially_zoomed); diff --git a/modules/extensions.py b/modules/extensions.py index 04bda297e..6542cb7ac 100644 --- a/modules/extensions.py +++ b/modules/extensions.py @@ -156,6 +156,8 @@ class Extension: def check_updates(self): repo = Repo(self.path) for fetch in repo.remote().fetch(dry_run=True): + if self.branch and fetch.name != f'{repo.remote().name}/{self.branch}': + continue if fetch.flags != fetch.HEAD_UPTODATE: self.can_update = True self.status = "new commits" diff --git a/modules/infotext_utils.py b/modules/infotext_utils.py index a1cbfb17d..723cb1f82 100644 --- a/modules/infotext_utils.py +++ b/modules/infotext_utils.py @@ -265,17 +265,6 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model else: prompt += ("" if prompt == "" else "\n") + line - if shared.opts.infotext_styles != "Ignore": - found_styles, prompt, negative_prompt = shared.prompt_styles.extract_styles_from_prompt(prompt, negative_prompt) - - if shared.opts.infotext_styles == "Apply": - res["Styles array"] = found_styles - elif shared.opts.infotext_styles == "Apply if any" and found_styles: - res["Styles array"] = found_styles - - res["Prompt"] = prompt - res["Negative prompt"] = negative_prompt - for k, v in re_param.findall(lastline): try: if v[0] == '"' and v[-1] == '"': @@ -290,6 +279,26 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model except Exception: print(f"Error parsing \"{k}: {v}\"") + # Extract styles from prompt + if shared.opts.infotext_styles != "Ignore": + found_styles, prompt_no_styles, negative_prompt_no_styles = shared.prompt_styles.extract_styles_from_prompt(prompt, negative_prompt) + + same_hr_styles = True + if ("Hires prompt" in res or "Hires negative prompt" in res) and (infotext_ver > infotext_versions.v180_hr_styles if (infotext_ver := infotext_versions.parse_version(res.get("Version"))) else True): + hr_prompt, hr_negative_prompt = res.get("Hires prompt", prompt), res.get("Hires negative prompt", negative_prompt) + hr_found_styles, hr_prompt_no_styles, hr_negative_prompt_no_styles = shared.prompt_styles.extract_styles_from_prompt(hr_prompt, hr_negative_prompt) + if same_hr_styles := found_styles == hr_found_styles: + res["Hires prompt"] = '' if hr_prompt_no_styles == prompt_no_styles else hr_prompt_no_styles + res['Hires negative prompt'] = '' if hr_negative_prompt_no_styles == negative_prompt_no_styles else hr_negative_prompt_no_styles + + if same_hr_styles: + prompt, negative_prompt = prompt_no_styles, negative_prompt_no_styles + if (shared.opts.infotext_styles == "Apply if any" and found_styles) or shared.opts.infotext_styles == "Apply": + res['Styles array'] = found_styles + + res["Prompt"] = prompt + res["Negative prompt"] = negative_prompt + # Missing CLIP skip means it was set to 1 (the default) if "Clip skip" not in res: res["Clip skip"] = "1" diff --git a/modules/infotext_versions.py b/modules/infotext_versions.py index b5552a312..0d2d6282a 100644 --- a/modules/infotext_versions.py +++ b/modules/infotext_versions.py @@ -6,6 +6,7 @@ import re v160 = version.parse("1.6.0") v170_tsnr = version.parse("v1.7.0-225") v180 = version.parse("1.8.0") +v180_hr_styles = version.parse("1.8.0-136") # todo: change to the actual version number after merge def parse_version(text): diff --git a/modules/processing.py b/modules/processing.py index 86194b057..d6873a510 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -702,7 +702,7 @@ def program_version(): return res -def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False, index=None, all_negative_prompts=None): +def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False, index=None, all_negative_prompts=None, all_hr_prompts=None, all_hr_negative_prompts=None): if index is None: index = position_in_batch + iteration * p.batch_size @@ -745,11 +745,18 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter "RNG": opts.randn_source if opts.randn_source != "GPU" else None, "NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond, "Tiling": "True" if p.tiling else None, + "Hires prompt": None, # This is set later, insert here to keep order + "Hires negative prompt": None, # This is set later, insert here to keep order **p.extra_generation_params, "Version": program_version() if opts.add_version_to_infotext else None, "User": p.user if opts.add_user_name_to_info else None, } + if all_hr_prompts := all_hr_prompts or getattr(p, 'all_hr_prompts', None): + generation_params['Hires prompt'] = all_hr_prompts[index] if all_hr_prompts[index] != all_prompts[index] else None + if all_hr_negative_prompts := all_hr_negative_prompts or getattr(p, 'all_hr_negative_prompts', None): + generation_params['Hires negative prompt'] = all_hr_negative_prompts[index] if all_hr_negative_prompts[index] != all_negative_prompts[index] else None + generation_params_text = ", ".join([k if k == v else f'{k}: {infotext_utils.quote(v)}' for k, v in generation_params.items() if v is not None]) prompt_text = p.main_prompt if use_main_prompt else all_prompts[index] @@ -1194,12 +1201,6 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): if self.hr_sampler_name is not None and self.hr_sampler_name != self.sampler_name: self.extra_generation_params["Hires sampler"] = self.hr_sampler_name - if tuple(self.hr_prompt) != tuple(self.prompt): - self.extra_generation_params["Hires prompt"] = self.hr_prompt - - if tuple(self.hr_negative_prompt) != tuple(self.negative_prompt): - self.extra_generation_params["Hires negative prompt"] = self.hr_negative_prompt - self.latent_scale_mode = shared.latent_upscale_modes.get(self.hr_upscaler, None) if self.hr_upscaler is not None else shared.latent_upscale_modes.get(shared.latent_upscale_default_mode, "nearest") if self.enable_hr and self.latent_scale_mode is None: if not any(x.name == self.hr_upscaler for x in shared.sd_upscalers): diff --git a/modules/processing_scripts/comments.py b/modules/processing_scripts/comments.py index 638e39f29..cf81dfd8b 100644 --- a/modules/processing_scripts/comments.py +++ b/modules/processing_scripts/comments.py @@ -26,6 +26,13 @@ class ScriptStripComments(scripts.Script): p.main_prompt = strip_comments(p.main_prompt) p.main_negative_prompt = strip_comments(p.main_negative_prompt) + if getattr(p, 'enable_hr', False): + p.all_hr_prompts = [strip_comments(x) for x in p.all_hr_prompts] + p.all_hr_negative_prompts = [strip_comments(x) for x in p.all_hr_negative_prompts] + + p.hr_prompt = strip_comments(p.hr_prompt) + p.hr_negative_prompt = strip_comments(p.hr_negative_prompt) + def before_token_counter(params: script_callbacks.BeforeTokenCounterParams): if not shared.opts.enable_prompt_comments: diff --git a/modules/shared_options.py b/modules/shared_options.py index 21643afe0..fc9f13d6f 100644 --- a/modules/shared_options.py +++ b/modules/shared_options.py @@ -101,6 +101,7 @@ options_templates.update(options_section(('upscaling', "Upscaling", "postprocess "DAT_tile": OptionInfo(192, "Tile size for DAT upscalers.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}).info("0 = no tiling"), "DAT_tile_overlap": OptionInfo(8, "Tile overlap for DAT upscalers.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}).info("Low values = visible seam"), "upscaler_for_img2img": OptionInfo(None, "Upscaler for img2img", gr.Dropdown, lambda: {"choices": [x.name for x in shared.sd_upscalers]}), + "set_scale_by_when_changing_upscaler": OptionInfo(False, "Automatically set the Scale by factor based on the name of the selected Upscaler."), })) options_templates.update(options_section(('face-restoration', "Face restoration", "postprocessing"), { diff --git a/modules/styles.py b/modules/styles.py index a9d8636a9..25f22d3dd 100644 --- a/modules/styles.py +++ b/modules/styles.py @@ -1,3 +1,4 @@ +from __future__ import annotations from pathlib import Path from modules import errors import csv diff --git a/scripts/postprocessing_upscale.py b/scripts/postprocessing_upscale.py index 80692e5c2..c2574346d 100644 --- a/scripts/postprocessing_upscale.py +++ b/scripts/postprocessing_upscale.py @@ -1,3 +1,5 @@ +import re + from PIL import Image import numpy as np @@ -39,10 +41,22 @@ class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing): upscaling_res_switch_btn = ToolButton(value=switch_values_symbol, elem_id="upscaling_res_switch_btn", tooltip="Switch width/height") upscaling_crop = gr.Checkbox(label='Crop to fit', value=True, elem_id="extras_upscaling_crop") + def on_selected_upscale_method(upscale_method): + if not shared.opts.set_scale_by_when_changing_upscaler: + return gr.update() + + match = re.search(r'(\d)[xX]|[xX](\d)', upscale_method) + if not match: + return gr.update() + + return gr.update(value=int(match.group(1) or match.group(2))) + upscaling_res_switch_btn.click(lambda w, h: (h, w), inputs=[upscaling_resize_w, upscaling_resize_h], outputs=[upscaling_resize_w, upscaling_resize_h], show_progress=False) tab_scale_by.select(fn=lambda: 0, inputs=[], outputs=[selected_tab]) tab_scale_to.select(fn=lambda: 1, inputs=[], outputs=[selected_tab]) + extras_upscaler_1.change(on_selected_upscale_method, inputs=[extras_upscaler_1], outputs=[upscaling_resize], show_progress="hidden") + return { "upscale_enabled": upscale_enabled, "upscale_mode": selected_tab, diff --git a/webui.sh b/webui.sh index 361255f69..b348c387e 100755 --- a/webui.sh +++ b/webui.sh @@ -130,12 +130,18 @@ case "$gpu_info" in if [[ -z "${TORCH_COMMAND}" ]] then pyv="$(${python_cmd} -c 'import sys; print(".".join(map(str, sys.version_info[0:2])))')" - if [[ $(bc <<< "$pyv <= 3.10") -eq 1 ]] + # Using an old nightly compiled against rocm 5.2 for Navi1, see https://github.com/pytorch/pytorch/issues/106728#issuecomment-1749511711 + if [[ $pyv == "3.8" ]] then - # Navi users will still use torch 1.13 because 2.0 does not seem to work. - export TORCH_COMMAND="pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm5.6" + export TORCH_COMMAND="pip install https://download.pytorch.org/whl/nightly/rocm5.2/torch-2.0.0.dev20230209%2Brocm5.2-cp38-cp38-linux_x86_64.whl https://download.pytorch.org/whl/nightly/rocm5.2/torchvision-0.15.0.dev20230209%2Brocm5.2-cp38-cp38-linux_x86_64.whl" + elif [[ $pyv == "3.9" ]] + then + export TORCH_COMMAND="pip install https://download.pytorch.org/whl/nightly/rocm5.2/torch-2.0.0.dev20230209%2Brocm5.2-cp39-cp39-linux_x86_64.whl https://download.pytorch.org/whl/nightly/rocm5.2/torchvision-0.15.0.dev20230209%2Brocm5.2-cp39-cp39-linux_x86_64.whl" + elif [[ $pyv == "3.10" ]] + then + export TORCH_COMMAND="pip install https://download.pytorch.org/whl/nightly/rocm5.2/torch-2.0.0.dev20230209%2Brocm5.2-cp310-cp310-linux_x86_64.whl https://download.pytorch.org/whl/nightly/rocm5.2/torchvision-0.15.0.dev20230209%2Brocm5.2-cp310-cp310-linux_x86_64.whl" else - printf "\e[1m\e[31mERROR: RX 5000 series GPUs must be using at max python 3.10, aborting...\e[0m" + printf "\e[1m\e[31mERROR: RX 5000 series GPUs python version must be between 3.8 and 3.10, aborting...\e[0m" exit 1 fi fi @@ -143,7 +149,7 @@ case "$gpu_info" in *"Navi 2"*) export HSA_OVERRIDE_GFX_VERSION=10.3.0 ;; *"Navi 3"*) [[ -z "${TORCH_COMMAND}" ]] && \ - export TORCH_COMMAND="pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm5.7" + export TORCH_COMMAND="pip install torch torchvision --index-url https://download.pytorch.org/whl/nightly/rocm5.7" ;; *"Renoir"*) export HSA_OVERRIDE_GFX_VERSION=9.0.0 printf "\n%s\n" "${delimiter}"