From 986cb167fff2fb4fc944d19dfe4340f1a33fc714 Mon Sep 17 00:00:00 2001 From: Hugues Pouillot Date: Thu, 19 Sep 2024 14:21:28 +0200 Subject: [PATCH] add editor link --- README.md | 26 +++++++------------------- 1 file changed, 7 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index d826763..a6b36df 100644 --- a/README.md +++ b/README.md @@ -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: