cleanup en, update todo and requirements

This commit is contained in:
Vladimir Mandic
2024-01-17 13:21:52 -05:00
parent 1090740e57
commit c04b1c9ff0
4 changed files with 31 additions and 18 deletions
+19
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@@ -1,5 +1,24 @@
# Change Log for SD.Next
## TODO for Dev merge
BLOCKERS:
- pending docs
OPTIONAL:
- pending `diffusers==0.26.0`
- animatediff `enable_free_init` [pr](https://github.com/huggingface/diffusers/pull/6315)
- pipeline `diffusers_sag_scale` [pr](https://github.com/huggingface/diffusers/issues/6443)
- wuerstchen v3 [pr](https://github.com/huggingface/diffusers/pull/6487)
- adetailer [fix](https://github.com/Bing-su/adetailer/issues/466)
- rebasin [issue](https://github.com/vladmandic/automatic/issues/2608)
- control api
- photomaker api
- interrogate api
- remb api
- masking api
- preprocess api
## Update for 2023-01-17
Another big release, highlights being:
+8 -16
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@@ -132,7 +132,6 @@ async function filterExtraNetworksForTab(searchTerm) {
elem.style.display = '';
});
} else {
// Do not account for case or whitespace
searchTerm = searchTerm.toLowerCase().trim();
@@ -148,7 +147,7 @@ async function filterExtraNetworksForTab(searchTerm) {
cards.forEach((elem) => {
// Construct the search text, which is the concatenation of all data elements with a prefix to make it unique
// This combined text allows to exclude search terms for example by using negative lookahead
if (re.test(`filename: ${elem.dataset.filename}|name: ${elem.dataset.name}|title: ${elem.dataset.title}|tags: ${elem.dataset.tags}`)) {
if (re.test(`${elem.dataset.filename}|${elem.dataset.name}|${elem.dataset.tags}`)) {
elem.style.display = '';
found += 1;
} else {
@@ -160,38 +159,31 @@ async function filterExtraNetworksForTab(searchTerm) {
// Keywords are separated by |, and keywords that should be excluded are prefixed with -
const searchList = searchTerm.split('|').filter((s) => s !== '' && !s.startsWith('-')).map((s) => s.trim());
const excludeList = searchTerm.split('|').filter((s) => s !== '' && s.trim().startsWith('-')).map((s) => s.trim().substring(1).trim());
// In addition, both the searchList, and exclude List can be separated by &, which means that all keywords in the searchList must be present, and none of the excludeList
// In addition, both the searchList, and exclude List can be separated by &, which means that all keywords in the searchList must be present, and none of the excludeList
// So we construct an array of arrays, which we will then use to filter the cards
const searchListAll = searchList.map((s) => s.split('&').map((s) => s.trim()));
const excludeListAll = excludeList.map((s) => s.split('&').map((s) => s.trim()));
const searchListAll = searchList.map((s) => s.split('&').map((t) => t.trim()));
const excludeListAll = excludeList.map((s) => s.split('&').map((t) => t.trim()));
cards.forEach((elem) => {
let text = '';
if (elem.dataset.filename) text += `${elem.dataset.filename} `;
if (elem.dataset.name) text += `${elem.dataset.name} `;
if (elem.dataset.title) text += `${elem.dataset.title} `;
if (elem.dataset.tags) text += `${elem.dataset.tags} `;
if (elem.dataset.filename) text += `filename:${elem.dataset.filename} `;
if (elem.dataset.name) text += `name:${elem.dataset.name} `;
if (elem.dataset.tags) text += `tags:${elem.dataset.tags} `;
text = text.toLowerCase().replace('models--', 'diffusers').replaceAll('\\', '/');
if (
// In searchListAll we have a list of lists, in the sublist, every keyword must be present
// In the top level list, at least one sublist must be present
searchListAll.some((searchList) => searchList.every((searchTerm) => text.includes(searchTerm)))
&&
// In excludeListAll we have a list of lists, in the sublist, the keywords may not appear together
// In the top level list, none of the sublists must be present
!excludeListAll.some((excludeList) => excludeList.every((excludeTerm) => text.includes(excludeTerm)))
searchListAll.some((sl) => sl.every((st) => text.includes(st))) && !excludeListAll.some((el) => el.every((et) => text.includes(et)))
) {
elem.style.display = '';
found += 1;
} else {
elem.style.display = 'none';
}
});
}
}
}
const t1 = performance.now();
+2 -2
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@@ -54,10 +54,10 @@ requests==2.31.0
tqdm==4.66.1
accelerate==0.26.1
opencv-contrib-python-headless==4.8.1.78
diffusers==0.25.0
diffusers==0.25.1
einops==0.4.1
gradio==3.43.2
huggingface_hub==0.20.1
huggingface_hub==0.20.2
numexpr==2.8.4
numpy==1.26.2
numba==0.58.1
+2
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@@ -171,6 +171,8 @@ class Script(scripts.Script):
shared.sd_model.load_lora_weights(lora, adapter_name=lora)
shared.sd_model.set_adapters([lora], adapter_weights=[strength])
p.extra_generation_params['AnimateDiff Lora'] = f'{lora}:{strength}'
if hasattr(shared.sd_model, 'enable_free_init'):
shared.sd_model.enable_free_init(num_iters=3, use_fast_sampling=False, method="butterworth", order=4, spatial_stop_frequency=0.25, temporal_stop_frequency=0.25)
p.extra_generation_params['AnimateDiff'] = loaded_adapter
p.do_not_save_grid = True
if 'animatediff' not in p.ops: