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[https://huggingface.co/stabilityai/stable-diffusion-2-1-unclip/tree/main/image_encoder](https://huggingface.co/stabilityai/stable-diffusion-2-1-unclip/tree/main/image_encoder)..```python## Introduction..we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation.# IP-Adapter for diffusers inference..To inference by diffusers pipeline, I converted from [Original Repo h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter) .SD\u90e8\u7f72\u5305\uff0c\u81ea\u7528\u8fd9\u662f ControlNet \u6a21\u578b\u7684\u955c\u50cf\u4ed3\u5e93\uff0c\u5305\u542b ControlNet \u9884\u5904\u7406\u5668\u548c\u6a21\u578b ..## \u6a21\u578b\u4ed3\u5e93## Introduction..we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation.## Introduction..we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation.## Introduction..we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation.## Introduction..we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation.**MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising**.
.Zhiqiang Xia \\*,# Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance..## Run LAR-GenThis is the model parameters of [CharacterGen](https://github.com/zjp-shadow/CharacterGen)..Thanks for downloading the checkpoint~.If you find our work helpful, please consider citing## Introduction..To address the need for flexible and controllable customizations in virtual try-on systems, we propose IMAGDressing-v1. Specifically, we introduce a garment UNet that captures semantic features from CLIP and texture features from VAE. Our hybrid attention module includes a frozen self-attention and a trainable cross-attention, integrating these features into a frozen denoising UNet to ensure user-controlled editing. We will release a comprehensive dataset, IGv1, with over 200,000 pairs of clothing and dressed images, and establish a standard data assembly pipeline. Furthermore, IMAGDressing-v1 can be combined with extensions like ControlNet, IP-Adapter, T2I-Adapter, and AnimateDiff to enhance diversity and controllability. Paper:arxiv.org/abs/2406.07547# StyleCrafter Model Card..
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\u9884\u5904\u7406\u5668\u548c\u6a21\u578b ..## \u6a21\u578b\u4ed3\u5e93ONNX checkpoints converted from https://github.com/IDEA-Research/DWPose. They are not totally optimized as I can't get TorchScript JIT working on Google Colab, hence \"UnJIT\"..rtmpose-m_ap10k_256.onnx is an exception reuploaded from https://github.com/open-mmlab/mmpose/blob/main/projects/rtmpose/README.md#animal-2d-17-keypoints. I'm too lazy to make a new repo lol\u8fd9\u662f\u50a8\u5b58stable-diffusion-webui/ComfyUI\u6269\u5c55\u6240\u9700\u7684\u90e8\u5206\u6a21\u578b\u6587\u4ef6..## \u4ed3\u5e93\u5217\u8868", "model_download_number": 0, "links": [ { "name": "qinglong_controlnet-lllite", "filename": "rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.onnx", "filesize(MB)": 51.954383850097656, "model_download_number": "None", "url": "https://huggingface.co/bdsqlsz/qinglong_controlnet-lllite/resolve/main/Annotators/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.onnx" }, { "name": "controlnet_v1.1_annotator", "filename": "rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.onnx", "filesize(MB)": 51.954383850097656, "model_download_number": "None", "url": "https://huggingface.co/licyk/controlnet_v1.1_annotator/resolve/main/openpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.onnx" } ], "save_path": "controlnet" }, 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"type": "LORA", "base": "Unknown", "description": "# **About**..This repository contains publicly available stable diffusion models for use in various applications. Diffusion models are a powerful class of models used for image generation, super-resolution, denoising, inpainting, and other tasks.This is an archive of all the models I use on my Colab SD installation## LoRAs Backups:.This repo is a Stable Diffusion LoRAs files backups.
.All rights to the original LoRAs creators.
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Azur Lane/\u5915\u7acb\u3010Yuudachi\u3011.safetensors" } ], "save_path": "loras" }, "7841e6f4e33752a0258fcb698d92496c84a2242f12465375ae639b5376e20345": { "id": "7841e6f4e33752a0258fcb698d92496c84a2242f12465375ae639b5376e20345", "tags": [], "name": "loras", "filename": "sserafimyunjin-v1.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "uber", "filename": "alelele_sserafimyunjin-v1.safetensors", "filesize(MB)": 144.11422443389893, "model_download_number": "None", "url": "https://huggingface.co/qnzkzpwldns/uber/resolve/main/lora/person/le_sserafim/yunjin/alelele_sserafimyunjin-v1.safetensors" }, { "name": "loras", "filename": "sserafimyunjin-v1.safetensors", "filesize(MB)": 144.11422443389893, "model_download_number": "None", "url": "https://huggingface.co/RectalWorm/loras/resolve/main/sserafimyunjin-v1.safetensors" } ], "save_path": "loras" }, "99d9efe060ca43bcb431b584b0d8c4ab6194880160eebb08e30d24feb7df503a": { "id": "99d9efe060ca43bcb431b584b0d8c4ab6194880160eebb08e30d24feb7df503a", "tags": [], "name": "loras-may22", "filename": "6cecile.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "hon", "filename": "1pcecile-croomy-s1-ponyxl-lora-nochekaiser.safetensors", "filesize(MB)": 217.87834548950195, "model_download_number": "None", "url": "https://huggingface.co/penson/hon/resolve/main/1pcecile-croomy-s1-ponyxl-lora-nochekaiser.safetensors" }, { "name": "loras-may22", "filename": "6cecile.safetensors", "filesize(MB)": 217.87834548950195, "model_download_number": "None", "url": "https://huggingface.co/GraydientPlatformAPI/loras-may22/resolve/main/6cecile.safetensors" } ], "save_path": "loras" }, "516047db97160d4ff96232838d7696d4a5b659e6a2224018e199acd17ef99113": { "id": "516047db97160d4ff96232838d7696d4a5b659e6a2224018e199acd17ef99113", "tags": [], "name": "sd-model", "filename": "kohaku-xl-epsilon-rev1.safetensors", "type": "Checkpoint", "base": "SDXL", "description": "\u4e2a\u4eba\u5b58\u50a8\u6a21\u578b\u7684\u4ed3\u5e93..## \u4ed3\u5e93\u5217\u8868*(Some fun fact: this slogan come from my personal homepage. Lot of ppl like this one and put it in their model page.)*..## Reference & Resource", "model_download_number": 0, "links": [ { "name": "sd-model", "filename": "kohakuXLEpsilon_rev1.safetensors", "filesize(MB)": 6616.630826950073, "model_download_number": "None", "url": "https://huggingface.co/licyk/sd-model/resolve/main/sdxl_1.0/kohakuXLEpsilon_rev1.safetensors" }, { "name": "Kohaku-XL-Epsilon", "filename": "kohaku-xl-epsilon-rev1.safetensors", "filesize(MB)": 6616.630826950073, "model_download_number": "None", "url": "https://huggingface.co/KBlueLeaf/Kohaku-XL-Epsilon/resolve/main/kohaku-xl-epsilon-rev1.safetensors" } ], "save_path": "checkpoints" }, "6056f4da4ff547842a5de7b56a09e1a316934992bd7154b3002a7fc54f46f619": { "id": "6056f4da4ff547842a5de7b56a09e1a316934992bd7154b3002a7fc54f46f619", "tags": [], "name": "loras", "filename": "ryurionDanmachi_ryurionV2.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "loras", "filename": "ryurionDanmachi_ryurionV2.safetensors", "filesize(MB)": 36.114580154418945, "model_download_number": "None", "url": "https://huggingface.co/Outimus/loras/resolve/main/character lora/ryurionDanmachi_ryurionV2.safetensors" }, { "name": "for_Colab", "filename": "ryurionDanmachi_ryurionV2.safetensors", "filesize(MB)": 36.114580154418945, "model_download_number": "None", "url": "https://huggingface.co/baycon/for_Colab/resolve/main/ryurionDanmachi_ryurionV2.safetensors" } ], "save_path": "loras" }, "e95bffc3bd2723172457fca7b8332d2357a5fa8cc7f73d47502a1f6680c28a00": { "id": "e95bffc3bd2723172457fca7b8332d2357a5fa8cc7f73d47502a1f6680c28a00", "tags": [], "name": "FloralMarble", "filename": "FloralMarble-250.pt", "type": "LORA", "base": "Unknown", "description": "Marble statues with a hint of abstract. 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"name": "load_lora_embeddings", "filename": "sd-hyper.safetensors", "filesize(MB)": 256.6595687866211, "model_download_number": "None", "url": "https://huggingface.co/stablediffusionapi/load_lora_embeddings/resolve/main/sd-hyper.safetensors" }, { "name": "Loras", "filename": "Hyper-SD15-8steps-CFG-lora.safetensors", "filesize(MB)": 256.6595687866211, "model_download_number": "None", "url": "https://huggingface.co/Xenos14/Loras/resolve/main/Tools/Hyper-SD15-8steps-CFG-lora.safetensors" } ], "save_path": "loras" }, "45f751ff55a43e60bd73b047b4d0b0a2bc8dcacb9d75e09be12d88deb088bc70": { "id": "45f751ff55a43e60bd73b047b4d0b0a2bc8dcacb9d75e09be12d88deb088bc70", "tags": [], "name": "loras", "filename": "alpha.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "loras", "filename": "alphaTheEminenceIn_alphaV1.safetensors", "filesize(MB)": 36.11112976074219, "model_download_number": "None", "url": 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I uploaded them for my own convenience of useFP16 models of ControlNet++. Original project repo: https://huggingface.co/spaces/limingcv/ControlNet-Plus-Plus.\u6574\u7406\u4e86\u76ee\u524d\u8868\u73fe\u8f03\u4f73\u7684ControlNet\u3002.\u6a21\u578b\u653e\u7f6e\u65bcSD-webui\\models\\ControlNet \u5373\u53ef\u4f7f\u7528.", "model_download_number": 0, "links": [ { "name": "Basecontrolnet", "filename": "controlnet++_lineart_sd15_fp16.safetensors", "filesize(MB)": 689.1237411499023, "model_download_number": "None", "url": "https://huggingface.co/phamhungd/Basecontrolnet/resolve/main/PlusPlus/controlnet++_lineart_sd15_fp16.safetensors" }, { "name": "something_fun", "filename": "controlnet++_lineart_sd15_fp16.safetensors", "filesize(MB)": 689.1237411499023, "model_download_number": "None", "url": "https://huggingface.co/IDKBDI/something_fun/resolve/main/controlnetPP/controlnet++_lineart_sd15_fp16.safetensors" } ], "save_path": "controlnet" }, "6e73a2fca24d3ce67688cbd0ed952c28d0fcc473b75f9fd1c3f0e55fa50237de": { "id": "6e73a2fca24d3ce67688cbd0ed952c28d0fcc473b75f9fd1c3f0e55fa50237de", "tags": [], "name": "loras", "filename": "char_badgirls.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "fashion-girl", "filename": "badgirl-v1-lora-naivae-64dim-5ep.safetensors", "filesize(MB)": 52.43192481994629, "model_download_number": "None", "url": "https://huggingface.co/KrakExilios/fashion-girl/resolve/main/badgirl-v1-lora-naivae-64dim-5ep.safetensors" }, { "name": "loras", "filename": "badgirl-v1-lora-naivae-64dim-5ep.safetensors", "filesize(MB)": 52.43192481994629, "model_download_number": "None", "url": "https://huggingface.co/RectalWorm/loras/resolve/main/badgirl-v1-lora-naivae-64dim-5ep.safetensors" } ], "save_path": "loras" }, "09b663fa8ffcbc7a82a31b7b8b7b1eba865fd8fcaf36f71f8d53937431dbaad4": { "id": "09b663fa8ffcbc7a82a31b7b8b7b1eba865fd8fcaf36f71f8d53937431dbaad4", "tags": [], "name": "loras-jun16", "filename": "mona-megistus-ponyxl-lora-nochekaiser.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "loras-jun16", "filename": "13nochekaiser.safetensors", "filesize(MB)": 217.93449783325195, "model_download_number": "None", "url": "https://huggingface.co/GraydientPlatformAPI/loras-jun16/resolve/main/13nochekaiser.safetensors" }, { "name": "LoraStableDiffusion", "filename": "mona-megistus-ponyxl-lora-nochekaiser.safetensors", "filesize(MB)": 217.93449783325195, "model_download_number": "None", "url": "https://huggingface.co/GritTin/LoraStableDiffusion/resolve/main/mona-megistus-ponyxl-lora-nochekaiser.safetensors" } ], "save_path": "loras" }, "57178eca39962fbfbae1a1d6f838499e749fd626a6b67894f20bbf9af77464db": { "id": "57178eca39962fbfbae1a1d6f838499e749fd626a6b67894f20bbf9af77464db", "tags": [], "name": "ControlNetMediaPipeFace", "filename": "PipeFace-v2.pth", "type": "ControlNet", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "ControlNetMediaPipeFace", "filename": "control_v2p_sd21_mediapipe_face.pth", "filesize(MB)": 1389.5311670303345, "model_download_number": "None", "url": "https://huggingface.co/CrucibleAI/ControlNetMediaPipeFace/resolve/main/control_v2p_sd21_mediapipe_face.pth" }, { "name": "Extracontrolnet", "filename": "PipeFace-v2.pth", "filesize(MB)": 1389.5311670303345, "model_download_number": "None", "url": "https://huggingface.co/navmesh/Extracontrolnet/resolve/main/Extra/PipeFace-v2.pth" } ], "save_path": "controlnet" }, "4568929e2d74e975caa0f0c6fbcb6361f28aab5c1da3eef30f552cf4dee9109d": { "id": "4568929e2d74e975caa0f0c6fbcb6361f28aab5c1da3eef30f552cf4dee9109d", "tags": [], "name": "Dsloem", "filename": "lora_nahira-e8.safetensors", "type": "LORA", "base": "Unknown", "description": "", "model_download_number": 0, "links": [ { "name": "Dsloem", "filename": "lora_nahira-e8.safetensors", "filesize(MB)": 288.1107864379883, "model_download_number": "None", "url": "https://huggingface.co/Throwing-bands/Dsloem/resolve/main/lora_nahira-e8.safetensors" }, { "name": "lora", "filename": "Vtuber - 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Or you can download them from this repository and put them to the specific folder.SD\u90e8\u7f72\u5305\uff0c\u81ea\u7528# SD v1-5 controlnet-openpose quantized Model Card.The original source of this model is : [lllyasviel/control_v11p_sd15_openpose](https://huggingface.co/lllyasviel/control_v11p_sd15_openpose). .This model is just optimized and converted to Intermediate Representation (IR) using OpenVino's Model Optimizer and POT tool to run on Intel's Hardware - CPU, GPU, NPU.\u8fd9\u662f ControlNet \u6a21\u578b\u7684\u955c\u50cf\u4ed3\u5e93\uff0c\u5305\u542b ControlNet \u9884\u5904\u7406\u5668\u548c\u6a21\u578b ..## \u6a21\u578b\u4ed3\u5e93This is the pretrained weights and some other detector weights of ControlNet...See also: https://github.com/lllyasviel/ControlNet

\ud83e\ude84SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing

.

. 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I uploaded them for my own convenience of useFP16 models of ControlNet++. 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