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@@ -33,12 +33,12 @@ Please also check out our [Community Scripts](https://github.com/huggingface/dif
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| Bit Diffusion | Diffusion on discrete data |[Bit Diffusion](#bit-diffusion)| - |[Stuti R.](https://github.com/kingstut)|
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| K-Diffusion Stable Diffusion | Run Stable Diffusion with any of [K-Diffusion's samplers](https://github.com/crowsonkb/k-diffusion/blob/master/k_diffusion/sampling.py)|[Stable Diffusion with K Diffusion](#stable-diffusion-with-k-diffusion)| - |[Patrick von Platen](https://github.com/patrickvonplaten/)|
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| Checkpoint Merger Pipeline | Diffusion Pipeline that enables merging of saved model checkpoints |[Checkpoint Merger Pipeline](#checkpoint-merger-pipeline)| - |[Naga Sai Abhinay Devarinti](https://github.com/Abhinay1997/)|
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| Stable Diffusion v1.1-1.4 Comparison | Run all 4 model checkpoints for Stable Diffusion and compare their results together |[Stable Diffusion Comparison](#stable-diffusion-comparisons)|-|[Suvaditya Mukherjee](https://github.com/suvadityamuk)|
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| Stable Diffusion v1.1-1.4 Comparison | Run all 4 model checkpoints for Stable Diffusion and compare their results together |[Stable Diffusion Comparison](#stable-diffusion-comparisons)|[Notebook](https://github.com/huggingface/notebooks/blob/main/diffusers/stable_diffusion_comparison.ipynb)|[Suvaditya Mukherjee](https://github.com/suvadityamuk)|
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| MagicMix | Diffusion Pipeline for semantic mixing of an image and a text prompt |[MagicMix](#magic-mix)| - |[Partho Das](https://github.com/daspartho)|
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| Stable UnCLIP | Diffusion Pipeline for combining prior model (generate clip image embedding from text, UnCLIPPipeline `"kakaobrain/karlo-v1-alpha"`) and decoder pipeline (decode clip image embedding to image, StableDiffusionImageVariationPipeline `"lambdalabs/sd-image-variations-diffusers"` ). |[Stable UnCLIP](#stable-unclip)|-|[Ray Wang](https://wrong.wang)|
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| UnCLIP Text Interpolation Pipeline | Diffusion Pipeline that allows passing two prompts and produces images while interpolating between the text-embeddings of the two prompts |[UnCLIP Text Interpolation Pipeline](#unclip-text-interpolation-pipeline)|- |[Naga Sai Abhinay Devarinti](https://github.com/Abhinay1997/)|
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| Stable UnCLIP | Diffusion Pipeline for combining prior model (generate clip image embedding from text, UnCLIPPipeline `"kakaobrain/karlo-v1-alpha"`) and decoder pipeline (decode clip image embedding to image, StableDiffusionImageVariationPipeline `"lambdalabs/sd-image-variations-diffusers"` ). |[Stable UnCLIP](#stable-unclip)|[Notebook](https://github.com/huggingface/notebooks/blob/main/diffusers/stable_unclip.ipynb)|[Ray Wang](https://wrong.wang)|
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| UnCLIP Text Interpolation Pipeline | Diffusion Pipeline that allows passing two prompts and produces images while interpolating between the text-embeddings of the two prompts |[UnCLIP Text Interpolation Pipeline](#unclip-text-interpolation-pipeline)|[Notebook](https://github.com/huggingface/notebooks/blob/main/diffusers/unclip_text_interpolation.ipynb)|[Naga Sai Abhinay Devarinti](https://github.com/Abhinay1997/)|
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| UnCLIP Image Interpolation Pipeline | Diffusion Pipeline that allows passing two images/image_embeddings and produces images while interpolating between their image-embeddings |[UnCLIP Image Interpolation Pipeline](#unclip-image-interpolation-pipeline)| - |[Naga Sai Abhinay Devarinti](https://github.com/Abhinay1997/)|
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| DDIM Noise Comparative Analysis Pipeline | Investigating how the diffusion models learn visual concepts from each noise level (which is a contribution of [P2 weighting (CVPR 2022)](https://arxiv.org/abs/2204.00227)) |[DDIM Noise Comparative Analysis Pipeline](#ddim-noise-comparative-analysis-pipeline)|- |[Aengus (Duc-Anh)](https://github.com/aengusng8)|
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| DDIM Noise Comparative Analysis Pipeline | Investigating how the diffusion models learn visual concepts from each noise level (which is a contribution of [P2 weighting (CVPR 2022)](https://arxiv.org/abs/2204.00227)) |[DDIM Noise Comparative Analysis Pipeline](#ddim-noise-comparative-analysis-pipeline)|[Notebook](https://github.com/huggingface/notebooks/blob/main/diffusers/ddim_noise_comparative_analysis.ipynb)|[Aengus (Duc-Anh)](https://github.com/aengusng8)|
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| CLIP Guided Img2Img Stable Diffusion Pipeline | Doing CLIP guidance for image to image generation with Stable Diffusion |[CLIP Guided Img2Img Stable Diffusion](#clip-guided-img2img-stable-diffusion)| - |[Nipun Jindal](https://github.com/nipunjindal/)|
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| TensorRT Stable Diffusion Text to Image Pipeline | Accelerates the Stable Diffusion Text2Image Pipeline using TensorRT |[TensorRT Stable Diffusion Text to Image Pipeline](#tensorrt-text2image-stable-diffusion-pipeline)| - |[Asfiya Baig](https://github.com/asfiyab-nvidia)|
| Zero1to3 Pipeline | Implementation of [Zero-1-to-3: Zero-shot One Image to 3D Object](https://arxiv.org/abs/2303.11328)|[Zero1to3 Pipeline](#zero1to3-pipeline)| - |[Xin Kong](https://github.com/kxhit)|
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| Stable Diffusion XL Long Weighted Prompt Pipeline | A pipeline support unlimited length of prompt and negative prompt, use A1111 style of prompt weighting |[Stable Diffusion XL Long Weighted Prompt Pipeline](#stable-diffusion-xl-long-weighted-prompt-pipeline)|[](https://colab.research.google.com/drive/1LsqilswLR40XLLcp6XFOl5nKb_wOe26W?usp=sharing)|[Andrew Zhu](https://xhinker.medium.com/)|
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| FABRIC - Stable Diffusion with feedback Pipeline | pipeline supports feedback from liked and disliked images |[Stable Diffusion Fabric Pipeline](#stable-diffusion-fabric-pipeline)|- |[Shauray Singh](https://shauray8.github.io/about_shauray/)|
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| FABRIC - Stable Diffusion with feedback Pipeline | pipeline supports feedback from liked and disliked images |[Stable Diffusion Fabric Pipeline](#stable-diffusion-fabric-pipeline)|[Notebook](https://github.com/huggingface/notebooks/blob/main/diffusers/stable_diffusion_fabric.ipynb)|[Shauray Singh](https://shauray8.github.io/about_shauray/)|
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| sketch inpaint - Inpainting with non-inpaint Stable Diffusion | sketch inpaint much like in automatic1111 |[Masked Im2Im Stable Diffusion Pipeline](#stable-diffusion-masked-im2im)| - |[Anatoly Belikov](https://github.com/noskill)|
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| sketch inpaint xl - Inpainting with non-inpaint Stable Diffusion | sketch inpaint much like in automatic1111 |[Masked Im2Im Stable Diffusion XL Pipeline](#stable-diffusion-xl-masked-im2im)| - |[Anatoly Belikov](https://github.com/noskill)|
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| prompt-to-prompt | change parts of a prompt and retain image structure (see [paper page](https://prompt-to-prompt.github.io/)) |[Prompt2Prompt Pipeline](#prompt2prompt-pipeline)| - |[Umer H. Adil](https://twitter.com/UmerHAdil)|
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