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@@ -10,7 +10,7 @@ To start using Stable Diffusion, you first need to create an account on [Huggin'
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If you don't have a GPU server to run the model, you can try out Stable Diffusion using one of the Colab notebooks below.
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- Text to image [](https://colab.research.google.com/drive/1MyESLsR8D5l_EBqumwxL0eMzNmd3uqs6?usp=sharing)
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- Image to image [](https://colab.research.google.com/drive/1zjr9n60q3G8Qd87WG3ZnjDgI-D1YBCbG?usp=sharing)
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- Image to image [](https://colab.research.google.com/drive/1zjr9n60q3G8Qd87WG3ZnjDgI-D1YBCbG?usp=sharing) (currently not working)
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## 2. Prompt engineering guide
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## 3. Resources
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**Repositories**
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- A browser interface based on Gradio library for Stable Diffusion - [Github](https://github.com/AUTOMATIC1111/stable-diffusion-webui).
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- A web-interface with tons of advanced features that runs locally - [Github](https://github.com/AUTOMATIC1111/stable-diffusion-webui).
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**Colab notebooks**
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**Colab notebooks (demo)**
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- text2img and img2img with advanced features [](https://colab.research.google.com/drive/1AfAmwLMd_Vx33O9IwY2TmO9wKZ8ABRRa)
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- Generate video animations [](https://colab.research.google.com/github/deforum/stable-diffusion/blob/main/Deforum_Stable_Diffusion.ipynb) (you need to download the weights from [here](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) and upload them to your Google Drive)
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- Find prompts with the interrogator [](https://colab.research.google.com/github/pharmapsychotic/clip-interrogator/blob/main/clip_interrogator.ipynb?authuser=0&pli=1#scrollTo=rbDEMDGJrJEo)
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- Stable Diffusion in Tensorflow/Keras [](https://colab.research.google.com/drive/1zVTa4mLeM_w44WaFwl7utTaa6JcaH1zK)
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- Image2Image pipeline for Stable Diffusion [](https://colab.research.google.com/github/patil-suraj/Notebooks/blob/master/image_2_image_using_diffusers.ipynb)
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**Colab notebooks (tutorials)**
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- Introduction to diffusers 🧨, the Hugging Face 🤗 library for diffusion models [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/diffusers_intro.ipynb)
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- Introduction to Stable Diffusion with diffusers 🧨 [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_diffusion.ipynb)
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- Training a diffusion model with diffusers 🧨 [](https://colab.research.google.com/gist/anton-l/f3a8206dae4125b93f05b1f5f703191d/diffusers_training_example.ipynb#scrollTo=smJeP67bF0yj)
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- Image2Image pipeline for Stable Diffusion [](https://colab.research.google.com/github/patil-suraj/Notebooks/blob/master/image_2_image_using_diffusers.ipynb)
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- Denoising Diffusion Implicit Models in Tensorflow/Keras [](https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/generative/ipynb/ddim.ipynb)
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- Stable Diffusion in Tensorflow/Keras [](https://colab.research.google.com/drive/1zVTa4mLeM_w44WaFwl7utTaa6JcaH1zK)
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- Find prompts with the interrogator [](https://colab.research.google.com/github/pharmapsychotic/clip-interrogator/blob/main/clip_interrogator.ipynb?authuser=0&pli=1#scrollTo=rbDEMDGJrJEo)
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- Generate video animations [](https://colab.research.google.com/github/deforum/stable-diffusion/blob/main/Deforum_Stable_Diffusion.ipynb) (you need to download the weights from [here](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) and upload them to your Google Drive)
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**Blogs**
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-[[2](https://arxiv.org/abs/2006.11239)] Ho, Jonathan, Ajay Jain, and Pieter Abbeel. "Denoising diffusion probabilistic models." Advances in Neural Information Processing Systems, 2020.
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-[[3](https://arxiv.org/abs/1907.05600)] Song, Yang, and Stefano Ermon. "Generative modeling by estimating gradients of the data distribution." Advances in Neural Information Processing Systems, 2019.
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-[[3](https://arxiv.org/abs/1907.05600)] Song, Yang, and Stefano Ermon. "Generative modeling by estimating gradients of the data distribution." Advances in Neural Information Processing Systems, 2019.
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