v1.10.0-RC

Repository: AUTOMATIC1111/stable-diffusion-webui · Tag: v1.10.0-RC Released by: AUTOMATIC1111

Features:

• A lot of performance improvements (see below in Performance section)
• Stable Diffusion 3 support (#16030)
  • Recommended Euler sampler; DDIM and other timestamp samplers currently not supported
  • T5 text model is disabled by default, enable it in settings
• New schedulers:
  • Align Your Steps (#15751)
  • KL Optimal (#15608)
  • Normal (#16149)
  • DDIM (#16149)
  • Simple (#16142)
• New sampler: DDIM CFG++ (#16035)

Minor:

• Option to skip CFG on early steps (#15607)
• Add --models-dir option (#15742)
• Allow mobile users to open context menu by using two fingers press (#15682)
• Infotext: add Lora name as TI hashes for bundled Textual Inversion (#15679)
• Check model's hash after downloading it to prevent corruped downloads (#15602)
• More extension tag filtering options (#15627)
• When saving AVIF, use JPEG's quality setting (#15610)
• Add filename pattern: [basename] (#15978)
• Add option to enable clip skip for clip L on SDXL (#15992)
• Option to prevent screen sleep during generation (#16001)
• ToggleLivePriview button in image viewer (#16065)

Extensions and API:

• Add process_before_every_sampling hook (#15984)
• Return HTTP 400 instead of 404 on invalid sampler error (#16140)

Performance:

• [Performance 1/6] use_checkpoint = False (#15803)
• [Performance 2/6] Replace einops.rearrange with torch native ops (#15804)
• [Performance 4/6] Precompute is_sdxl_inpaint flag (#15806)
• [Performance 5/6] Prevent unnecessary extra networks bias backup (#15816)
• [Performance 6/6] Add --precision half option to avoid casting during inference (#15820)
• [Performance] LDM optimization patches (#15824)
• [Performance] Keep sigmas on CPU (#15823)
• Check for nans in unet only once, after all steps have been completed
• Added pption to run torch profiler for image generation

Bug Fixes:

• Fix for grids without comprehensive infotexts (#15958)
• feat: lora partial update precede full update (#15943)
• Fix bug where file extension had an extra '.' under some circumstances (#15893)
• Fix corrupt model initial load loop (#15600)
• Allow old sampler names in API (#15656)
• more old sampler scheduler compatibility (#15681)
• Fix Hypertile xyz (#15831)
• XYZ CSV skipinitialspace (#15832)
• fix soft inpainting on mps and xpu, torch_utils.float64 (#15815)
• fix extention update when not on main branch (#15797)
• update pickle safe filenames
• use relative path for webui-assets css (#15757)
• When creating a virtual environment, upgrade pip in webui.bat/webui.sh (#15750)
• Fix AttributeError (#15738)
• use script_path for webui root in launch_utils (#15705)
• fix extra batch mode P Transparency (#15664)
• use gradio theme colors in css (#15680)
• Fix dragging text within prompt input (#15657)
• Add correct mimetype for .mjs files (#15654)
• QOL Items - handle metadata issues more cleanly for SD models, Loras and embeddings (#15632)
• replace wsl-open with wslpath and explorer.exe (#15968)
• Fix SDXL Inpaint (#15976)
• multi size grid (#15988)
• fix Replace preview (#16118)
• Possible fix of wrong scale in weight decomposition (#16151)
• Ensure use of python from venv on Mac and Linux (#16116)
• Prioritize python3.10 over python3 if both are available on Linux and Mac (with fallback) (#16092)
• stoping generation extras (#16085)
• Fix SD2 loading (#16078, #16079)
• fix infotext Lora hashes for hires fix different lora (#16062)
• Fix sampler scheduler autocorrection warning (#16054)

Other:

• fix changelog #15883 -> #15882 (#15907)
• ReloadUI backgroundColor --background-fill-primary (#15864)
• Use different torch versions for Intel and ARM Macs (#15851)
• XYZ override rework (#15836)
• scroll extensions table on overflow (#15830)
• img2img batch upload method (#15817)
• chore: sync v1.8.0 packages according to changelog (#15783)
• Add AVIF MIME type support to mimetype definitions (#15739)
• Update imageviewer.js (#15730)
• no-referrer (#15641)
• .gitignore trace.json (#15980)
• Bump spandrel to 0.3.4 (#16144)
• Defunct --max-batch-count (#16119)
• docs: update bug_report.yml (#16102)
• Maintaining Project Compatibility for Python 3.9 Users Without Upgrade Requirements. (#16088)
• Update torch for ARM Macs to 2.3.1 (#16059)
• remove deprecated setting dont_fix_second_order_samplers_schedule (#16061)
• chore: fix typos (#16060)

This release has 2 assets:

• Source code (zip)
• Source code (tar.gz)

Visit the release page to download them.

Release page : https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.10.0-RC

How to switch different versions tutorial : https://youtu.be/-NjNy7afOQ0

Changes

Features:

• A lot of performance improvements (see below in Performance section)
• Stable Diffusion 3 support (#16030)
  • Recommended Euler sampler; DDIM and other timestamp samplers currently not supported
  • T5 text model is disabled by default, enable it in settings
• New schedulers:
  • Align Your Steps (#15751)
  • KL Optimal (#15608)
  • Normal (#16149)
  • DDIM (#16149)
  • Simple (#16142)
• New sampler: DDIM CFG++ (#16035)

Minor:

• Option to skip CFG on early steps (#15607)
• Add --models-dir option (#15742)
• Allow mobile users to open context menu by using two fingers press (#15682)
• Infotext: add Lora name as TI hashes for bundled Textual Inversion (#15679)
• Check model's hash after downloading it to prevent corruped downloads (#15602)
• More extension tag filtering options (#15627)
• When saving AVIF, use JPEG's quality setting (#15610)
• Add filename pattern: [basename] (#15978)
• Add option to enable clip skip for clip L on SDXL (#15992)
• Option to prevent screen sleep during generation (#16001)
• ToggleLivePriview button in image viewer (#16065)

Extensions and API:

• Add process_before_every_sampling hook (#15984)
• Return HTTP 400 instead of 404 on invalid sampler error (#16140)

Performance:

• [Performance 1/6] use_checkpoint = False (#15803)
• [Performance 2/6] Replace einops.rearrange with torch native ops (#15804)
• [Performance 4/6] Precompute is_sdxl_inpaint flag (#15806)
• [Performance 5/6] Prevent unnecessary extra networks bias backup (#15816)
• [Performance 6/6] Add --precision half option to avoid casting during inference (#15820)
• [Performance] LDM optimization patches (#15824)
• [Performance] Keep sigmas on CPU (#15823)
• Check for nans in unet only once, after all steps have been completed
• Added pption to run torch profiler for image generation

Bug Fixes:

• Fix for grids without comprehensive infotexts (#15958)
• feat: lora partial update precede full update (#15943)
• Fix bug where file extension had an extra '.' under some circumstances (#15893)
• Fix corrupt model initial load loop (#15600)
• Allow old sampler names in API (#15656)
• more old sampler scheduler compatibility (#15681)
• Fix Hypertile xyz (#15831)
• XYZ CSV skipinitialspace (#15832)
• fix soft inpainting on mps and xpu, torch_utils.float64 (#15815)
• fix extention update when not on main branch (#15797)
• update pickle safe filenames
• use relative path for webui-assets css (#15757)
• When creating a virtual environment, upgrade pip in webui.bat/webui.sh (#15750)
• Fix AttributeError (#15738)
• use script_path for webui root in launch_utils (#15705)
• fix extra batch mode P Transparency (#15664)
• use gradio theme colors in css (#15680)
• Fix dragging text within prompt input (#15657)
• Add correct mimetype for .mjs files (#15654)
• QOL Items - handle metadata issues more cleanly for SD models, Loras and embeddings (#15632)
• replace wsl-open with wslpath and explorer.exe (#15968)
• Fix SDXL Inpaint (#15976)
• multi size grid (#15988)
• fix Replace preview (#16118)
• Possible fix of wrong scale in weight decomposition (#16151)
• Ensure use of python from venv on Mac and Linux (#16116)
• Prioritize python3.10 over python3 if both are available on Linux and Mac (with fallback) (#16092)
• stoping generation extras (#16085)
• Fix SD2 loading (#16078, #16079)
• fix infotext Lora hashes for hires fix different lora (#16062)
• Fix sampler scheduler autocorrection warning (#16054)

Other:

• fix changelog #15883 -> #15882 (#15907)
• ReloadUI backgroundColor --background-fill-primary (#15864)
• Use different torch versions for Intel and ARM Macs (#15851)
• XYZ override rework (#15836)
• scroll extensions table on overflow (#15830)
• img2img batch upload method (#15817)
• chore: sync v1.8.0 packages according to changelog (#15783)
• Add AVIF MIME type support to mimetype definitions (#15739)
• Update imageviewer.js (#15730)
• no-referrer (#15641)
• .gitignore trace.json (#15980)
• Bump spandrel to 0.3.4 (#16144)
• Defunct --max-batch-count (#16119)
• docs: update bug_report.yml (#16102)
• Maintaining Project Compatibility for Python 3.9 Users Without Upgrade Requirements. (#16088)
• Update torch for ARM Macs to 2.3.1 (#16059)
• remove deprecated setting dont_fix_second_order_samplers_schedule (#16061)
• chore: fix typos (#16060)

When training models, it’s essential to describe the content of your dataset. Creating files that detail image content becomes crucial. Now, regarding taggers or interrogators: I primarily use WD 1.4 variants, but for more complex scenes, I’m interested in tools that generate full sentences. I recall finding such a tagger previously but lost it during a reinstall. So, what yields the best results for tagging your datasets? CLIP, BLIP, or perhaps something else? And finally, what’s your favorite tool or UI for tagging?