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README.md

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**The simplest way to train and run adapters on top of foundation models**
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[**Manifesto**](https://refine.rs/home/why/) |
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[**Docs**](https://refine.rs) |
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[**Guides**](https://refine.rs/guides/adapting_sdxl/) |
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[**Manifesto**](https://finegrain-ai.github.io/refiners/home/why/) |
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[**Docs**](https://finegrain-ai.github.io/refiners/) |
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[**Guides**](https://finegrain-ai.github.io/refiners/guides/adapting_sdxl/) |
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[**Discussions**](https://github.com/finegrain-ai/refiners/discussions) |
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[**Discord**](https://discord.gg/a4w4jXJ6)
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## Documentation
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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/).
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Refiners comes with a [MkDocs-based documentation website](https://finegrain-ai.github.io/refiners/). You will find there a [quick start guide](https://finegrain-ai.github.io/refiners/getting-started/recommended/), a description of the [key concepts](https://finegrain-ai.github.io/refiners/concepts/chain/), as well as in-depth foundation model adaptation [guides](https://finegrain-ai.github.io/refiners/guides/adapting_sdxl/).
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## Projects using Refiners
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docs/guides/adapting_sdxl/index.md

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You can easily download the above image by doing:
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```bash
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curl -O https://refine.rs/guides/adapting_sdxl/german-castle.jpg
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curl -O https://finegrain-ai.github.io/refiners/guides/adapting_sdxl/german-castle.jpg
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```
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Instantiate a [`SDXLIPAdapter`][refiners.foundationals.latent_diffusion.stable_diffusion_xl.image_prompt.SDXLIPAdapter] targeting our `sdxl.unet`, and inject it using a simple `.inject()` call:
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You can easily download the above image by doing:
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```bash
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curl -O https://refine.rs/guides/adapting_sdxl/zoe-depth-map-german-castle.png
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curl -O https://finegrain-ai.github.io/refiners/guides/adapting_sdxl/zoe-depth-map-german-castle.png
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```
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Then, just inject it as usual:

pyproject.toml

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[project.urls]
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Homepage = "https://refine.rs/"
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Documentation = "https://refine.rs/"
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Homepage = "https://finegrain-ai.github.io/refiners/"
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Documentation = "https://finegrain-ai.github.io/refiners/"
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Repository = "https://github.com/finegrain-ai/refiners"
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Issues = "https://github.com/finegrain-ai/refiners/issues"
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src/comfyui-refiners/README.md

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**The simplest way to train and run adapters on top of foundation models**
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[**Manifesto**](https://refine.rs/home/why/) |
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[**Docs**](https://refine.rs) |
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[**Guides**](https://refine.rs/guides/adapting_sdxl/) |
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[**Manifesto**](https://finegrain-ai.github.io/refiners/home/why/) |
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[**Docs**](https://finegrain-ai.github.io/refiners/) |
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[**Guides**](https://finegrain-ai.github.io/refiners/guides/adapting_sdxl/) |
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[**Discussions**](https://github.com/finegrain-ai/refiners/discussions) |
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[**Discord**](https://discord.gg/a4w4jXJ6)
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</div>
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## Installation
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The nodes are published at https://registry.comfy.org/publishers/finegrain/nodes/comfyui-refiners. See our [installation guide](https://refine.rs/guides/comfyui_refiners/) for more details.
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The nodes are published at https://registry.comfy.org/publishers/finegrain/nodes/comfyui-refiners. See our [installation guide](https://finegrain-ai.github.io/refiners/guides/comfyui_refiners/) for more details.
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## Example Workflows
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