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[docs] IP-Adapter #6897

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Feb 14, 2024
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[docs] IP-Adapter #6897

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use cases
stevhliu Feb 6, 2024
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stevhliu Feb 7, 2024
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fix image links
stevhliu Feb 7, 2024
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stevhliu Feb 8, 2024
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2 changes: 2 additions & 0 deletions docs/source/en/_toctree.yml
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Expand Up @@ -58,6 +58,8 @@
- sections:
- local: using-diffusers/textual_inversion_inference
title: Textual inversion
- local: using-diffusers/ip_adapter
title: IP-Adapter
- local: training/distributed_inference
title: Distributed inference with multiple GPUs
- local: using-diffusers/reusing_seeds
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4 changes: 2 additions & 2 deletions docs/source/en/api/loaders/ip_adapter.md
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Expand Up @@ -12,11 +12,11 @@ specific language governing permissions and limitations under the License.

# IP-Adapter

[IP-Adapter](https://hf.co/papers/2308.06721) is a lightweight adapter that enables prompting a diffusion model with an image. This method decouples the cross-attention layers of the image and text features. The image features are generated from an image encoder. Files generated from IP-Adapter are only ~100MBs.
[IP-Adapter](https://hf.co/papers/2308.06721) is a lightweight adapter that enables prompting a diffusion model with an image. This method decouples the cross-attention layers of the image and text features. The image features are generated from an image encoder.
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Does it make sense to indicate the file size to give an upfront idea about the tinyness of the adapter?

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I think it's probably ok to not mention file size which seems like an extra detail for a reference page. It's already mentioned in the loading guide (where it is more relevant) which is linked on this page.


<Tip>

Learn how to load an IP-Adapter checkpoint and image in the [IP-Adapter](../../using-diffusers/loading_adapters#ip-adapter) loading guide.
Learn how to load an IP-Adapter checkpoint and image in the IP-Adapter [loading](../../using-diffusers/loading_adapters#ip-adapter) guide, and you can see how to use it in the [usage](../../using-diffusers/ip_adapter) guide.

</Tip>

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