add editor link

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Hugues Pouillot 2024-09-19 14:21:28 +02:00 committed by Cédric Deltheil
parent a542337a83
commit 986cb167ff

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@ -38,21 +38,7 @@ ______________________________________________________________________
- Added [IC-Light](https://github.com/lllyasviel/IC-Light) to manipulate the illumination of images
- Added Multi Upscaler for high-resolution image generation, inspired from [Clarity Upscaler](https://github.com/philz1337x/clarity-upscaler) ([HF Space](https://huggingface.co/spaces/finegrain/enhancer))
- Added [HQ-SAM](https://arxiv.org/abs/2306.01567) for high quality mask prediction with Segment Anything
- Added [SDXL-Lightning](https://arxiv.org/abs/2402.13929)
- Added [Latent Consistency Models](https://arxiv.org/abs/2310.04378) and [LCM-LoRA](https://arxiv.org/abs/2311.05556) for Stable Diffusion XL
- Added [Style Aligned adapter](https://arxiv.org/abs/2312.02133) to Stable Diffusion models
- Added [ControlLoRA (v2) adapter](https://github.com/HighCWu/control-lora-v2) to Stable Diffusion XL
- Added [Euler's method](https://arxiv.org/abs/2206.00364) to solvers (contributed by [@israfelsr](https://github.com/israfelsr))
- Added [DINOv2](https://github.com/facebookresearch/dinov2) for high-performance visual features (contributed by [@Laurent2916](https://github.com/Laurent2916))
- Added [FreeU](https://github.com/ChenyangSi/FreeU) for improved quality at no cost (contributed by [@isamu-isozaki](https://github.com/isamu-isozaki))
- Added [Restart Sampling](https://github.com/Newbeeer/diffusion_restart_sampling) for improved image generation ([example](https://github.com/Newbeeer/diffusion_restart_sampling/issues/4))
- Added [Self-Attention Guidance](https://github.com/KU-CVLAB/Self-Attention-Guidance/) to avoid e.g. too smooth images ([example](https://github.com/SusungHong/Self-Attention-Guidance/issues/4))
- Added [T2I-Adapter](https://github.com/TencentARC/T2I-Adapter) for extra guidance ([example](https://github.com/TencentARC/T2I-Adapter/discussions/93))
- Added [MultiDiffusion](https://github.com/omerbt/MultiDiffusion) for e.g. panorama images
- Added [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter), aka image prompt ([example](https://github.com/tencent-ailab/IP-Adapter/issues/92))
- Added [Segment Anything](https://github.com/facebookresearch/segment-anything) to foundation models
- Added [SDXL 1.0](https://github.com/Stability-AI/generative-models) to foundation models
- Made possible to add new concepts to the CLIP text encoder, e.g. via [Textual Inversion](https://arxiv.org/abs/2208.01618)
- ...see past [releases](https://github.com/finegrain-ai/refiners/releases)
## Installation
@ -68,6 +54,12 @@ rye sync --all-features
Refiners comes with a MkDocs-based documentation website available at https://refine.rs. You will find there a [quick start guide](https://refine.rs/getting-started/recommended/), a description of the [key concepts](https://refine.rs/concepts/chain/), as well as in-depth foundation model adaptation [guides](https://refine.rs/guides/adapting_sdxl/).
## Projects using Refiners
- [Finegrain Editor](https://editor.finegrain.ai/signup?utm_source=github&utm_campaign=refiners): use state-of-the-art visual AI skills to edit product photos
- [Visoid](https://www.visoid.com/): AI-powered architectural visualization
- [imaginAIry](https://github.com/brycedrennan/imaginAIry): Pythonic AI generation of images and videos
## Awesome Adaptation Papers
If you're interested in understanding the diversity of use cases for foundation model adaptation (potentially beyond the specific adapters supported by Refiners), we suggest you take a look at these outstanding papers:
@ -81,10 +73,6 @@ If you're interested in understanding the diversity of use cases for foundation
- [Cross Modality Attention Adapter](https://arxiv.org/abs/2307.01124)
- [UniAdapter](https://arxiv.org/abs/2302.06605)
## Projects using Refiners
- https://github.com/brycedrennan/imaginAIry
## Credits
We took inspiration from these great projects: