1580158
/
automatic
mirror of https://github.com/vladmandic/automatic
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

fix gallery save/delete 

Signed-off-by: vladmandic <mandic00@live.com>
pull/4562/head
vladmandic 2026-01-20 09:53:20 +01:00
parent 8cf27dffdb
commit f9aa2591e5
22 changed files with 65 additions and 53 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

51
CHANGELOG.md
View File

@ -1,8 +1,8 @@
# Change Log for SD.Next
## Update for 2025-01-19
## Update for 2025-01-20
### Highlights for 2025-01-19
### Highlights for 2025-01-20
First release of 2026 brings quite a few new models: **Flux.2-Klein, Qwen-Image-2512, LTX-2-Dev, GLM-Image**
There are also improvements to SDNQ quantization engine, updated Prompt Enhance and many others.
@ -11,7 +11,7 @@ For full list of changes, see full changelog.
[ReadMe](https://github.com/vladmandic/automatic/blob/master/README.md) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867) | [Sponsor](https://github.com/sponsors/vladmandic)
### Details for 2025-01-19
### Details for 2025-01-20
- **Models**
- [Flux.2 Klein](https://bfl.ai/blog/flux2-klein-towards-interactive-visual-intelligence)
@ -80,31 +80,32 @@ For full list of changes, see full changelog.
- refactor handling of seeds
- allow unsafe ssl context for downloads
- **Fixes**
- controlnet: controlnet with non-english ui locales
- core: add skip_keys to offloading logic, fixes wan frames mismatch, thanks @ryanmeador
- core: force model move on offload=none
- core: hidiffusion tracing
- core: hip device name detection
- core: reduce triton test verbosity
- core: switch processing class not restoring params
- extension tab: update checker, date handling, formatting etc., thanks @awsr
- controlnet with non-english ui locales
- update civitai base models, thanks @trojaner
- wildards with folder specification
- z-image single-file loader
- hip device name detection
- force align width/height to vae scale factor
- meituan-longca-image-edit missing image param
- mobile auto-collapse when using side panel, thanks @awsr
- switch processing class not restoring params
- hidiffusion tracing
- add skip_keys to offloading logic, fixes wan frames mismatch, thanks @ryanmeador
- wan 2.2 i2v
- force model move on offload=none
- kandinsky-5 image and video on non-cuda platforms
- lora loading when using torch without distributed support
- generate slowdown when consequtive lora-diffusers enabled
- google-genai auth, thanks @CalamitousFelicitousness
- reduce triton test verbosity
- improve qwen i2i handling
- networks filter by model type
- netoworks icon/list view type switch, thanks @awsr
- lora skip with strength zero
- lora force unapply on change
- lora handle null description, thanks @CalamitousFelicitousness
- lora loading when using torch without distributed support
- lora skip with strength zero
- lora: generate slowdown when consequtive lora-diffusers enabled
- model: google-genai auth, thanks @CalamitousFelicitousness
- model: improve qwen i2i handling
- model: kandinsky-5 image and video on non-cuda platforms
- model: meituan-longca-image-edit missing image param
- model: wan 2.2 i2v
- model: z-image single-file loader
- other: update civitai base models, thanks @trojaner
- ui: gallery save/delete
- ui: mobile auto-collapse when using side panel, thanks @awsr
- ui: networks filter by model type
- ui: networks icon/list view type switch, thanks @awsr
- vae: force align width/height to vae scale factor
- wildards with folder specification
## Update for 2025-12-26

1
TODO.md
View File

@ -47,6 +47,7 @@
TODO: Investigate which models are diffusers-compatible and prioritize!
- [Bria FiboEdit](https://github.com/huggingface/diffusers/commit/d7a1c31f4f85bae5a9e01cdce49bd7346bd8ccd6)
- [LTXVideo 0.98 LongMulti](https://github.com/huggingface/diffusers/pull/12614)
- [Cosmos-Predict-2.5](https://huggingface.co/nvidia/Cosmos-Predict2.5-2B)
- [NewBie Image Exp0.1](https://github.com/huggingface/diffusers/pull/12803)

26
javascript/ui.js
View File

@ -33,9 +33,10 @@ function clip_gallery_urls(gallery) {
}
function isVisible(el) {
if (!el) return false;
const rect = el.getBoundingClientRect();
if (rect.width === 0 && rect.height === 0) return false;
return rect.top >= 0 && rect.left >= 0 && rect.bottom <= (window.innerHeight || document.documentElement.clientHeight) && rect.right <= (window.innerWidth || document.documentElement.clientWidth);
return (rect.top >= 0) && (rect.left >= 0) && (rect.bottom <= (window.innerHeight || document.documentElement.clientHeight)) && (rect.right <= (window.innerWidth || document.documentElement.clientWidth));
}
function all_gallery_buttons() {
@ -66,15 +67,24 @@ function selected_gallery_index() {
return result;
}
function selected_gallery_files() {
function selected_gallery_files(tabname) {
let allImages = [];
let allThumbnails;
if (tabname && tabname !== 'gallery') allThumbnails = gradioApp().querySelectorAll('div[id$=_gallery].gradio-gallery .thumbnail-item.thumbnail-small');
else allThumbnails = gradioApp().querySelectorAll('.gradio-gallery .thumbnails > .thumbnail-item.thumbnail-small');
try {
let allCurrentButtons = gradioApp().querySelectorAll('[style="display: block;"].tabitem div[id$=_gallery].gradio-gallery .thumbnail-item.thumbnail-small');
if (allCurrentButtons.length === 0) allCurrentButtons = gradioApp().querySelectorAll('.gradio-gallery .thumbnails > .thumbnail-item.thumbnail-small');
allImages = Array.from(allCurrentButtons).map((v) => v.querySelector('img')?.src);
allImages = allImages.filter((el) => isVisible(el));
} catch { /**/ }
const selectedIndex = selected_gallery_index();
allImages = Array.from(allThumbnails).map((v) => v.querySelector('img'));
if (tabname && tabname !== 'gallery') allImages = allImages.filter((img) => isVisible(img));
allImages = allImages.map((img) => {
let fn = img.src;
if (fn.includes('file=')) fn = fn.split('file=')[1];
return decodeURI(fn);
});
} catch (err) {
error(`selected_gallery_files: ${err}`);
}
let selectedIndex = -1;
if (tabname && tabname !== 'gallery') selectedIndex = selected_gallery_index();
return [allImages, selectedIndex];
}

2
modules/apg/pipeline_stable_diffision_xl_apg.py
View File

@ -1081,7 +1081,7 @@ class StableDiffusionXLPipelineAPG(
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

2
modules/apg/pipeline_stable_diffusion_apg.py
View File

@ -965,7 +965,7 @@ class StableDiffusionPipelineAPG(
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 6.1 Add image embeds for IP-Adapter

2
modules/face/instantid_model.py
View File

@ -882,7 +882,7 @@ class StableDiffusionXLInstantIDPipeline(StableDiffusionXLControlNetPipeline):
guidance_scale_tensor, embedding_dim=self.unet.config.time_cond_proj_dim
).to(device=device, dtype=latents.dtype)
# 7. Prepare extra step kwargs.
# 7. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7.1 Create tensor stating which controlnets to keep

2
modules/face/photomaker_pipeline.py
View File

@ -679,7 +679,7 @@ class PhotoMakerStableDiffusionXLPipeline(StableDiffusionXLPipeline):
latents,
)
# 9. Prepare extra step kwargs.
# 9. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 10. Prepare added time ids & embeddings

2
modules/hidiffusion/hidiffusion_controlnet.py
View File

@ -550,7 +550,7 @@ def make_diffusers_sdxl_contrtolnet_ppl(block_class):
# # scale the initial noise by the standard deviation required by the scheduler
# latents = latents * self.scheduler.init_noise_sigma
# 7. Prepare extra step kwargs.
# 7. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7.1 Create tensor stating which controlnets to keep

2
modules/onnx_impl/pipelines/onnx_stable_diffusion_upscale_pipeline.py
View File

@ -128,7 +128,7 @@ class OnnxStableDiffusionUpscalePipeline(diffusers.OnnxStableDiffusionUpscalePip
" `pipeline.unet` or your `image` input."
)
# 8. Prepare extra step kwargs.
# 8. Prepare extra step kwargs.
accepts_eta = "eta" in set(inspect.signature(self.scheduler.step).parameters.keys())
extra_step_kwargs = {}
if accepts_eta:

2
modules/pag/pipe_sd.py
View File

@ -1268,7 +1268,7 @@ class StableDiffusionPAGPipeline(
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 6.1 Add image embeds for IP-Adapter

2
modules/pag/pipe_sdxl.py
View File

@ -1366,7 +1366,7 @@ class StableDiffusionXLPAGPipeline(
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

4
modules/ui_common.py
View File

@ -88,7 +88,7 @@ def delete_files(js_data, files, all_files, index):
continue
if os.path.exists(fn) and os.path.isfile(fn):
deleted.append(fn)
os.remove(fn)
# os.remove(fn)
if fn in all_files:
all_files.remove(fn)
shared.log.info(f'Delete: image="{fn}"')
@ -312,7 +312,7 @@ def create_output_panel(tabname, preview=True, prompt=None, height=None, transfe
outputs=[download_files, html_log],
)
delete.click(fn=call_queue.wrap_gradio_call(delete_files), show_progress='hidden',
_js="(x, y, i, j) => [x, y, ...selected_gallery_files()]",
_js=f'(x, y, i, j) => [x, y, ...selected_gallery_files("{tabname}")]',
inputs=[generation_info, result_gallery, html_info, html_info],
outputs=[result_gallery, html_log],
)

2
scripts/consistory/consistory_pipeline.py
View File

@ -322,7 +322,7 @@ class ConsistoryExtendAttnSDXLPipeline(
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
if share_queries:

2
scripts/differential_diffusion.py
View File

@ -1756,7 +1756,7 @@ class StableDiffusionDiffImg2ImgPipeline(DiffusionPipeline):
timesteps, num_inference_steps = self.get_timesteps(num_inference_steps, strength, device)
# 7. Prepare extra step kwargs.
# 7. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
map = torchvision.transforms.Resize(tuple(s // self.vae_scale_factor for s in image.shape[2:]),antialias=None)(map)

2
scripts/freescale/freescale_pipeline.py
View File

@ -873,7 +873,7 @@ class StableDiffusionXLFreeScale(DiffusionPipeline, FromSingleFileMixin, LoraLoa
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

2
scripts/freescale/freescale_pipeline_img2img.py
View File

@ -902,7 +902,7 @@ class StableDiffusionXLFreeScaleImg2Img(DiffusionPipeline, FromSingleFileMixin,
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

2
scripts/instantir/sdxl_instantir.py
View File

@ -1405,7 +1405,7 @@ class InstantIRPipeline(
guidance_scale_tensor, embedding_dim=self.unet.config.time_cond_proj_dim
).to(device=device, dtype=latents.dtype)
# 7. Prepare extra step kwargs.
# 7. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7.1 Create tensor stating which controlnets to keep

2
scripts/mod/__init__.py
View File

@ -1039,7 +1039,7 @@ class StableDiffusionXLTilingPipeline(
if isinstance(self.scheduler, LMSDiscreteScheduler):
latents = latents * self.scheduler.sigmas[0]
# 5. Prepare extra step kwargs.
# 5. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 6. Prepare added time ids & embeddings

2
scripts/pixelsmith/pixelsmith_pipeline.py
View File

@ -1384,7 +1384,7 @@ class PixelSmithXLPipeline(
latents,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

2
scripts/xadapter/pipeline_sd_xl_adapter.py
View File

@ -833,7 +833,7 @@ class StableDiffusionXLAdapterPipeline(DiffusionPipeline, FromSingleFileMixin, L
latents_sd1_5,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

2
scripts/xadapter/pipeline_sd_xl_adapter_controlnet.py
View File

@ -934,7 +934,7 @@ class StableDiffusionXLAdapterControlnetPipeline(DiffusionPipeline, FromSingleFi
latents_sd1_5,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings

2
scripts/xadapter/pipeline_sd_xl_adapter_controlnet_img2img.py
View File

@ -941,7 +941,7 @@ class StableDiffusionXLAdapterControlnetI2IPipeline(DiffusionPipeline, FromSingl
generator,
)
# 6. Prepare extra step kwargs.
# 6. Prepare extra step kwargs.
extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
# 7. Prepare added time ids & embeddings