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update changelog

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
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Vladimir Mandic
2024-10-20 18:32:09 -04:00
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CHANGELOG.md
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### Highlights for 2024-10-20
Workflow highlights:
#### Workflow highlights
- **Reprocess**: New workflow options that allow you to generate at lower quality and then
reprocess at higher quality for select images only or generate without hires/refine and then reprocess with hires/refine
@@ -15,30 +15,30 @@ Workflow highlights:
- **Extract LoRA**: load any LoRA(s) and play with generate as usual
and once you like the results simply extract combined LoRA for future use!
Newly supported:
#### Newly supported
- New fine-tuned [CLiP-ViT-L]((https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14)) 1st stage **text-encoders** used by SD15, SDXL, Flux.1, etc. brings additional details to your images
- New models:
- [CogView 3 Plus](https://huggingface.co/THUDM/CogView3-Plus-3B)
- [Meissonic](https://github.com/viiika/Meissonic)
- New models:
[CogView 3 Plus](https://huggingface.co/THUDM/CogView3-Plus-3B)
[Meissonic](https://github.com/viiika/Meissonic)
- Additional integration:
[Ctrl+X](https://github.com/genforce/ctrl-x) which allows for control of **structure and appearance** without the need for extra models,
[APG: Adaptive Projected Guidance](https://arxiv.org/pdf/2410.02416) for optimal **guidance** control,
[LinFusion](https://github.com/Huage001/LinFusion) for on-the-fly distillation of any sd15/sdxl model
Otherwise notable:
#### Otherwise notable
- Several of [Flux.1](https://huggingface.co/black-forest-labs/FLUX.1-dev) optimizations and new quantization types
- Auto-detection of best available **device/dtype** settings for your platform and GPU reduces neeed for manual configuration
- Full rewrite of **sampler options**, not far more streamlined with tons of new options to tweak scheduler behavior
- Improved **LoRA** detection and handling for all supported models
- Tons of work on dynamic quantization that can be applied on-the-fly during model load to any model type
Supported quantization engines include TorchAO, Optimum.quanto, NNCF compression, and more...
- Tons of work on **dynamic quantization** that can be applied on-the-fly during model load to any model type
Supported quantization engines include `TorchAO`, `Optimum.quanto`, `NNCF` compression, and more...
Oh, and we've compiled a full table with list of popular text-to-image generative models, their respective parameters and architecture overview: <https://github.com/vladmandic/automatic/wiki/Models>
And there are also other goodies like multiple *XYZ grid* improvements, additional *Flux ControlNets*, additional *Interrogate models*, better *LoRA tags* support, and more...
Oh, and we've compiled a full table with list of top-30 (*how many have you tried?*) popular text-to-image generative models,
their respective parameters and architecture overview: [Models Overview](https://github.com/vladmandic/automatic/wiki/Models)
And there are also other goodies like multiple *XYZ grid* improvements, additional *Flux ControlNets*, additional *Interrogate models*, better *LoRA tags* support, and more...
[README](https://github.com/vladmandic/automatic/blob/master/README.md) | [CHANGELOG](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867)
extensions-builtin/sdnext-modernui
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Submodule extensions-builtin/sdnext-modernui updated: 895addec9e...74e12fb5e5
requirements.txt
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@@ -65,3 +65,4 @@ open-clip-torch
# TODO temporary block for torch==2.5.0
torchvision!=0.20.0
torch!=2.5.0