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Releases: divamgupta/diffusionbee-stable-diffusion-ui

2.5.1

01 Feb 06:14
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  • Bug fixes

2.5.0

23 Jan 07:01
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  • New UI
  • LoRA support during generation. ( Now you can use multiple LoRAs without merging)
  • Seed compatibility mode ( to reproduce results from A1111 etc )
  • Support for bfloat16 in LoRA
  • New feature to create illusions
image

2.4.4

09 Jan 19:53
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  • Improvement in SDXL quality
  • Prompt weighting like A1111
  • Text prompt styles
  • New default model

2.4.3

23 Dec 05:13
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  • Bug fixes
  • Support for training custom SD models locally

2.3.0

13 Dec 00:51
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2.3.0 Pre-release
Pre-release
  • 30% speed improvement
  • Support for SDXL

2.2.1 ( Beta )

21 Jun 01:57
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New features

  • Completely new UI
  • Ability to queue generations
  • Video tools - interpolation, Deforum
  • A new infinite AI canvas
  • Ability to draw on canvas
  • More controlnet models
  • Better in-painting and outpainting
  • LoRA tools
  • More advanced options for generation

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image

1.7.4

29 Apr 18:56
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New features

  • ControlNet
  • SD2.x support
  • Fixes black screen issue with Intel
  • Ability to generate similar images
  • Multiple schedulers
  • Safetensors support

1.5.2

13 Feb 04:03
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New Features

  • Safer way to import custom models
  • Some bug fixes
  • Custom models option in front
  • Resizable outpainting box
  • Negative prompt for outpainting

1.5.1

11 Nov 05:41
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New Features:

  • Ability to add and select custom DreamBooth models
  • New options menu
  • Sound on generation
  • Toast notifications
  • Pagination in history

FP16 version runs much faster, but has slightly worse generation quality. FP32 version produces the best quality.

Warning : loading external custom models can potentially harm your computer. So please only load models from trusted sources.

1.4.3

29 Oct 05:35
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Features:

  • Better outpainting UI
  • Bug fixes
  • TF model updated

Notes

  • DiffusionBee-1.4.3-arm64_MPS_SD1.5_FP16 runs much faster, but has slightly worse generation quality.
  • DiffusionBee-1.4.3-arm64_TF_SD1.4_FP32 runs slower, but produces better quality images