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-rw-r--r--README.md1
-rw-r--r--extensions-builtin/Lora/ui_extra_networks_lora.py13
-rw-r--r--html/extra-networks-card.html1
-rw-r--r--html/licenses.html219
-rw-r--r--javascript/extraNetworks.js2
-rw-r--r--javascript/hints.js1
-rw-r--r--javascript/imageviewer.js2
-rw-r--r--javascript/notification.js2
-rw-r--r--javascript/progressbar.js2
-rw-r--r--launch.py16
-rw-r--r--modules/api/api.py128
-rw-r--r--modules/api/models.py30
-rw-r--r--modules/codeformer_model.py2
-rw-r--r--modules/extensions.py6
-rw-r--r--modules/generation_parameters_copypaste.py13
-rw-r--r--modules/images.py2
-rw-r--r--modules/mac_specific.py3
-rw-r--r--modules/modelloader.py8
-rw-r--r--modules/models/diffusion/uni_pc/__init__.py1
-rw-r--r--modules/models/diffusion/uni_pc/sampler.py100
-rw-r--r--modules/models/diffusion/uni_pc/uni_pc.py856
-rw-r--r--modules/processing.py7
-rw-r--r--modules/script_callbacks.py8
-rw-r--r--modules/scripts.py32
-rw-r--r--modules/sd_hijack.py12
-rw-r--r--modules/sd_hijack_optimizations.py70
-rw-r--r--modules/sd_samplers.py2
-rw-r--r--modules/sd_samplers_compvis.py59
-rw-r--r--modules/sd_samplers_kdiffusion.py4
-rw-r--r--modules/shared.py25
-rw-r--r--modules/ui.py11
-rw-r--r--modules/ui_common.py9
-rw-r--r--modules/ui_extra_networks.py30
-rw-r--r--modules/ui_extra_networks_checkpoints.py14
-rw-r--r--modules/ui_extra_networks_hypernets.py12
-rw-r--r--modules/ui_extra_networks_textual_inversion.py13
-rw-r--r--requirements_versions.txt2
-rw-r--r--scripts/prompt_matrix.py2
-rw-r--r--scripts/xyz_grid.py155
-rw-r--r--style.css17
-rw-r--r--test/basic_features/txt2img_test.py2
-rw-r--r--webui.py51
42 files changed, 1775 insertions, 170 deletions
diff --git a/README.md b/README.md
index 2ceb4d2d..24f8e799 100644
--- a/README.md
+++ b/README.md
@@ -157,5 +157,6 @@ Licenses for borrowed code can be found in `Settings -> Licenses` screen, and al
- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
- Security advice - RyotaK
+- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
- (You)
diff --git a/extensions-builtin/Lora/ui_extra_networks_lora.py b/extensions-builtin/Lora/ui_extra_networks_lora.py
index 22cabcb0..8d32052e 100644
--- a/extensions-builtin/Lora/ui_extra_networks_lora.py
+++ b/extensions-builtin/Lora/ui_extra_networks_lora.py
@@ -15,21 +15,14 @@ class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage):
def list_items(self):
for name, lora_on_disk in lora.available_loras.items():
path, ext = os.path.splitext(lora_on_disk.filename)
- previews = [path + ".png", path + ".preview.png"]
-
- preview = None
- for file in previews:
- if os.path.isfile(file):
- preview = self.link_preview(file)
- break
-
yield {
"name": name,
"filename": path,
- "preview": preview,
+ "preview": self.find_preview(path),
+ "description": self.find_description(path),
"search_term": self.search_terms_from_path(lora_on_disk.filename),
"prompt": json.dumps(f"<lora:{name}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
- "local_preview": path + ".png",
+ "local_preview": f"{path}.{shared.opts.samples_format}",
}
def allowed_directories_for_previews(self):
diff --git a/html/extra-networks-card.html b/html/extra-networks-card.html
index 8a5e2fbd..8612396d 100644
--- a/html/extra-networks-card.html
+++ b/html/extra-networks-card.html
@@ -7,6 +7,7 @@
<span style="display:none" class='search_term'>{search_term}</span>
</div>
<span class='name'>{name}</span>
+ <span class='description'>{description}</span>
</div>
</div>
diff --git a/html/licenses.html b/html/licenses.html
index 570630eb..bddbf466 100644
--- a/html/licenses.html
+++ b/html/licenses.html
@@ -417,3 +417,222 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
</pre>
+<h2><a href="https://github.com/huggingface/diffusers/blob/c7da8fd23359a22d0df2741688b5b4f33c26df21/LICENSE">Scaled Dot Product Attention</a></h2>
+<small>Some small amounts of code borrowed and reworked.</small>
+<pre>
+ Copyright 2023 The HuggingFace Team. All rights reserved.
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
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+ the conditions stated in this License.
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+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
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+ with Licensor regarding such Contributions.
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+ 6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+ 7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
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+ 8. Limitation of Liability. In no event and under no legal theory,
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+ unless required by applicable law (such as deliberate and grossly
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+ the Work or Derivative Works thereof, You may choose to offer,
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+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
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+ of your accepting any such warranty or additional liability.
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+ END OF TERMS AND CONDITIONS
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+ APPENDIX: How to apply the Apache License to your work.
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+ To apply the Apache License to your work, attach the following
+ boilerplate notice, with the fields enclosed by brackets "[]"
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+ comment syntax for the file format. We also recommend that a
+ file or class name and description of purpose be included on the
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+ Copyright [yyyy] [name of copyright owner]
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+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
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+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+</pre> \ No newline at end of file
diff --git a/javascript/extraNetworks.js b/javascript/extraNetworks.js
index 8f7cee03..d0177ad6 100644
--- a/javascript/extraNetworks.js
+++ b/javascript/extraNetworks.js
@@ -76,7 +76,7 @@ function cardClicked(tabname, textToAdd, allowNegativePrompt){
var textarea = allowNegativePrompt ? activePromptTextarea[tabname] : gradioApp().querySelector("#" + tabname + "_prompt > label > textarea")
if(! tryToRemoveExtraNetworkFromPrompt(textarea, textToAdd)){
- textarea.value = textarea.value + " " + textToAdd
+ textarea.value = textarea.value + opts.extra_networks_add_text_separator + textToAdd
}
updateInput(textarea)
diff --git a/javascript/hints.js b/javascript/hints.js
index f1199009..7f4101b2 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -6,6 +6,7 @@ titles = {
"GFPGAN": "Restore low quality faces using GFPGAN neural network",
"Euler a": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps higher than 30-40 does not help",
"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",
+ "UniPC": "Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models",
"DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution",
"Batch count": "How many batches of images to create (has no impact on generation performance or VRAM usage)",
diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js
index aac2ee82..28e748b7 100644
--- a/javascript/imageviewer.js
+++ b/javascript/imageviewer.js
@@ -11,7 +11,7 @@ function showModal(event) {
if (modalImage.style.display === 'none') {
lb.style.setProperty('background-image', 'url(' + source.src + ')');
}
- lb.style.display = "block";
+ lb.style.display = "flex";
lb.focus()
const tabTxt2Img = gradioApp().getElementById("tab_txt2img")
diff --git a/javascript/notification.js b/javascript/notification.js
index 040a3afa..5ae6df24 100644
--- a/javascript/notification.js
+++ b/javascript/notification.js
@@ -15,7 +15,7 @@ onUiUpdate(function(){
}
}
- const galleryPreviews = gradioApp().querySelectorAll('div[id^="tab_"][style*="display: block"] img.h-full.w-full.overflow-hidden');
+ const galleryPreviews = gradioApp().querySelectorAll('div[id^="tab_"][style*="display: block"] div[id$="_results"] img.h-full.w-full.overflow-hidden');
if (galleryPreviews == null) return;
diff --git a/javascript/progressbar.js b/javascript/progressbar.js
index ff6d757b..9ccc9da4 100644
--- a/javascript/progressbar.js
+++ b/javascript/progressbar.js
@@ -139,7 +139,7 @@ function requestProgress(id_task, progressbarContainer, gallery, atEnd, onProgre
var divProgress = document.createElement('div')
divProgress.className='progressDiv'
- divProgress.style.display = opts.show_progressbar ? "" : "none"
+ divProgress.style.display = opts.show_progressbar ? "block" : "none"
var divInner = document.createElement('div')
divInner.className='progress'
diff --git a/launch.py b/launch.py
index a68bb3a9..0868f8a9 100644
--- a/launch.py
+++ b/launch.py
@@ -161,7 +161,17 @@ def git_clone(url, dir, name, commithash=None):
if commithash is not None:
run(f'"{git}" -C "{dir}" checkout {commithash}', None, "Couldn't checkout {name}'s hash: {commithash}")
-
+
+def git_pull_recursive(dir):
+ for subdir, _, _ in os.walk(dir):
+ if os.path.exists(os.path.join(subdir, '.git')):
+ try:
+ output = subprocess.check_output([git, '-C', subdir, 'pull', '--autostash'])
+ print(f"Pulled changes for repository in '{subdir}':\n{output.decode('utf-8').strip()}\n")
+ except subprocess.CalledProcessError as e:
+ print(f"Couldn't perform 'git pull' on repository in '{subdir}':\n{e.output.decode('utf-8').strip()}\n")
+
+
def version_check(commit):
try:
import requests
@@ -247,6 +257,7 @@ def prepare_environment():
args, _ = parser.parse_known_args(sys.argv)
sys.argv, _ = extract_arg(sys.argv, '-f')
+ sys.argv, update_all_extensions = extract_arg(sys.argv, '--update-all-extensions')
sys.argv, skip_torch_cuda_test = extract_arg(sys.argv, '--skip-torch-cuda-test')
sys.argv, skip_python_version_check = extract_arg(sys.argv, '--skip-python-version-check')
sys.argv, reinstall_xformers = extract_arg(sys.argv, '--reinstall-xformers')
@@ -312,6 +323,9 @@ def prepare_environment():
if update_check:
version_check(commit)
+
+ if update_all_extensions:
+ git_pull_recursive(dir_extensions)
if "--exit" in sys.argv:
print("Exiting because of --exit argument")
diff --git a/modules/api/api.py b/modules/api/api.py
index 5a9ac5f1..35e17afc 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -150,6 +150,7 @@ class Api:
self.add_api_route("/sdapi/v1/train/embedding", self.train_embedding, methods=["POST"], response_model=TrainResponse)
self.add_api_route("/sdapi/v1/train/hypernetwork", self.train_hypernetwork, methods=["POST"], response_model=TrainResponse)
self.add_api_route("/sdapi/v1/memory", self.get_memory, methods=["GET"], response_model=MemoryResponse)
+ self.add_api_route("/sdapi/v1/scripts", self.get_scripts_list, methods=["GET"], response_model=ScriptsList)
def add_api_route(self, path: str, endpoint, **kwargs):
if shared.cmd_opts.api_auth:
@@ -163,47 +164,98 @@ class Api:
raise HTTPException(status_code=401, detail="Incorrect username or password", headers={"WWW-Authenticate": "Basic"})
- def get_script(self, script_name, script_runner):
- if script_name is None:
+ def get_selectable_script(self, script_name, script_runner):
+ if script_name is None or script_name == "":
return None, None
- if not script_runner.scripts:
- script_runner.initialize_scripts(False)
- ui.create_ui()
-
script_idx = script_name_to_index(script_name, script_runner.selectable_scripts)
script = script_runner.selectable_scripts[script_idx]
return script, script_idx
+
+ def get_scripts_list(self):
+ t2ilist = [str(title.lower()) for title in scripts.scripts_txt2img.titles]
+ i2ilist = [str(title.lower()) for title in scripts.scripts_img2img.titles]
+
+ return ScriptsList(txt2img = t2ilist, img2img = i2ilist)
+
+ def get_script(self, script_name, script_runner):
+ if script_name is None or script_name == "":
+ return None, None
+
+ script_idx = script_name_to_index(script_name, script_runner.scripts)
+ return script_runner.scripts[script_idx]
+
+ def init_script_args(self, request, selectable_scripts, selectable_idx, script_runner):
+ #find max idx from the scripts in runner and generate a none array to init script_args
+ last_arg_index = 1
+ for script in script_runner.scripts:
+ if last_arg_index < script.args_to:
+ last_arg_index = script.args_to
+ # None everywhere except position 0 to initialize script args
+ script_args = [None]*last_arg_index
+ # position 0 in script_arg is the idx+1 of the selectable script that is going to be run when using scripts.scripts_*2img.run()
+ if selectable_scripts:
+ script_args[selectable_scripts.args_from:selectable_scripts.args_to] = request.script_args
+ script_args[0] = selectable_idx + 1
+ else:
+ # when [0] = 0 no selectable script to run
+ script_args[0] = 0
+
+ # Now check for always on scripts
+ if request.alwayson_scripts and (len(request.alwayson_scripts) > 0):
+ for alwayson_script_name in request.alwayson_scripts.keys():
+ alwayson_script = self.get_script(alwayson_script_name, script_runner)
+ if alwayson_script == None:
+ raise HTTPException(status_code=422, detail=f"always on script {alwayson_script_name} not found")
+ # Selectable script in always on script param check
+ if alwayson_script.alwayson == False:
+ raise HTTPException(status_code=422, detail=f"Cannot have a selectable script in the always on scripts params")
+ # always on script with no arg should always run so you don't really need to add them to the requests
+ if "args" in request.alwayson_scripts[alwayson_script_name]:
+ script_args[alwayson_script.args_from:alwayson_script.args_to] = request.alwayson_scripts[alwayson_script_name]["args"]
+ return script_args
def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
- script, script_idx = self.get_script(txt2imgreq.script_name, scripts.scripts_txt2img)
+ script_runner = scripts.scripts_txt2img
+ if not script_runner.scripts:
+ script_runner.initialize_scripts(False)
+ ui.create_ui()
+ selectable_scripts, selectable_script_idx = self.get_selectable_script(txt2imgreq.script_name, script_runner)
- populate = txt2imgreq.copy(update={ # Override __init__ params
+ populate = txt2imgreq.copy(update={ # Override __init__ params
"sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
- "do_not_save_samples": True,
- "do_not_save_grid": True
- }
- )
+ "do_not_save_samples": not txt2imgreq.save_images,
+ "do_not_save_grid": not txt2imgreq.save_images,
+ })
if populate.sampler_name:
populate.sampler_index = None # prevent a warning later on
args = vars(populate)
args.pop('script_name', None)
+ args.pop('script_args', None) # will refeed them to the pipeline directly after initializing them
+ args.pop('alwayson_scripts', None)
+
+ script_args = self.init_script_args(txt2imgreq, selectable_scripts, selectable_script_idx, script_runner)
+
+ send_images = args.pop('send_images', True)
+ args.pop('save_images', None)
with self.queue_lock:
p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)
+ p.scripts = script_runner
+ p.outpath_grids = opts.outdir_txt2img_grids
+ p.outpath_samples = opts.outdir_txt2img_samples
shared.state.begin()
- if script is not None:
- p.outpath_grids = opts.outdir_txt2img_grids
- p.outpath_samples = opts.outdir_txt2img_samples
- p.script_args = [script_idx + 1] + [None] * (script.args_from - 1) + p.script_args
- processed = scripts.scripts_txt2img.run(p, *p.script_args)
+ if selectable_scripts != None:
+ p.script_args = script_args
+ processed = scripts.scripts_txt2img.run(p, *p.script_args) # Need to pass args as list here
else:
+ p.script_args = tuple(script_args) # Need to pass args as tuple here
processed = process_images(p)
shared.state.end()
- b64images = list(map(encode_pil_to_base64, processed.images))