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update changelog
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CHANGELOG.md

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### Highlights for 2024-06-23
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Following zero-day **SD3** release, a week later here's a refresh with 10+ improvements
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Following zero-day **SD3** release, a 10 days later here's a refresh with 10+ improvements
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including full prompt attention, support for compressed weights, additional text-encoder quantization modes.
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But there's more than SD3:
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- support for quantized **T5** text encoder in all models that use T5: FP4/FP8/FP16/INT8 (SD3, PixArt-Σ, etc)
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- support for quantized **T5** text encoder *FP16/FP8/FP4/INT8* in all models that use T5: SD3, PixArt-Σ, etc.
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- support for **PixArt-Sigma** in small/medium/large variants
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- support for **HunyuanDiT 1.1**
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- additional **NNCF weights compression** support: SD3, PixArt, ControlNet, Lora
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- additional **NNCF weights compression** support: SD3, PixArt, ControlNet, Lora
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- integration of **MS Florence** VLM/VQA *Base* and *Large* models
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- (finally) new release of **Torch-DirectML**
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- additional efficiencies for users with low vram gpus
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- additional efficiencies for users with low VRAM GPUs
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- over 20 overall fixes
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### Model Improvements
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- **MS Florence**: integration of Microsoft Florence VLM/VQA Base and Large models
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simply select in *process -> visual query*!
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### Improvements: General
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### General Improvements
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- support FP4 quantized T5 text encoder, in addtion to existing FP8 and FP16
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- support for T5 text-encoder loader in **all** models that use T5
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- fix api ip-adapter
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- fix memory exceptions with ROCm, thanks @Disty0!
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- fix face-hires with lowvram, thanks @Disty0!
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- fix pag incorrectly resetting pipeline
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- cleanup image metadata
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- restructure api examples: `cli/api-*`
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- handle theme fallback when invalid theme is specified

modules/pag/__init__.py

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c = shared.sd_model.__class__ if shared.sd_loaded else None
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if c == StableDiffusionPAGPipeline or c == StableDiffusionXLPAGPipeline:
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unapply()
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return None
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if p.pag_scale == 0:
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return
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if sd_models.get_diffusers_task(shared.sd_model) != sd_models.DiffusersTaskType.TEXT_2_IMAGE:

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