#python #deep_learning #gan #generative_adversarial_network #image_generation #image_to_image_translation #style_transfer
https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
GitHub
GitHub - OndrejTexler/Few-Shot-Patch-Based-Training: The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization…
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training - OndrejTexler/Few-Shot-Patch-Based-Training
#python #avatarify #cyclegan #deep_learning #deepfakes #face_swap #faceswap #first_order_model #gan #image_editing #image_generation #mai_ha_hi #motion_transfer #photo2cartoon #pix2pix #super_resolution
https://github.com/PaddlePaddle/PaddleGAN
https://github.com/PaddlePaddle/PaddleGAN
GitHub
GitHub - PaddlePaddle/PaddleGAN: PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer…
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on....
#jupyter_notebook #deep_learning #gan #generative_adversarial_network #image_generation #interactive_visualizations #pytorch
https://github.com/harskish/ganspace
https://github.com/harskish/ganspace
GitHub
GitHub - harskish/ganspace: Discovering Interpretable GAN Controls [NeurIPS 2020]
Discovering Interpretable GAN Controls [NeurIPS 2020] - harskish/ganspace
#python #ddpm #diffusion_probabilistic #image_generation #pytorch #super_resolution
https://github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement
https://github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement
GitHub
GitHub - Janspiry/Image-Super-Resolution-via-Iterative-Refinement: Unofficial implementation of Image Super-Resolution via Iterative…
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch - Janspiry/Image-Super-Resolution-via-Iterative-Refinement
#python #gan #generative_adversarial_network #image_generation #style_transfer
https://github.com/onion-liu/BlendGAN
https://github.com/onion-liu/BlendGAN
GitHub
GitHub - onion-liu/BlendGAN: Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face…
Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021) - onion-liu/BlendGAN
#python #deep_learning #diffusion #image_generation #pytorch #score_based_generative_modeling
https://github.com/huggingface/diffusers
https://github.com/huggingface/diffusers
GitHub
GitHub - huggingface/diffusers: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - huggingface/diffusers
#python #ai #blender #blender_addon #image_generation #stable_diffusion
https://github.com/carson-katri/dream-textures
https://github.com/carson-katri/dream-textures
GitHub
GitHub - carson-katri/dream-textures: Stable Diffusion built-in to Blender
Stable Diffusion built-in to Blender. Contribute to carson-katri/dream-textures development by creating an account on GitHub.
#jupyter_notebook #ai #artificial_intelligence #image_generation #img2img #latent_diffusion #machine_learning #model_training #stable_diffusion #txt2img
https://github.com/JoePenna/Dreambooth-Stable-Diffusion
https://github.com/JoePenna/Dreambooth-Stable-Diffusion
GitHub
GitHub - JoePenna/Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual…
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse...
#jupyter_notebook #ai_art #artificial_intelligence #generative_art #image_generation #img2img #inpainting #latent_diffusion #linux #macos #outpainting #stable_diffusion #txt2img #windows
https://github.com/invoke-ai/InvokeAI
https://github.com/invoke-ai/InvokeAI
GitHub
GitHub - invoke-ai/InvokeAI: Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists…
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The ...
#python #computer_vision #deep_learning #diffusion_models #image_editing #image_generation #image_manipulation #paint_by_example #pytorch #stable_diffusion
https://github.com/Fantasy-Studio/Paint-by-Example
https://github.com/Fantasy-Studio/Paint-by-Example
GitHub
GitHub - Fantasy-Studio/Paint-by-Example: Paint by Example: Exemplar-based Image Editing with Diffusion Models
Paint by Example: Exemplar-based Image Editing with Diffusion Models - Fantasy-Studio/Paint-by-Example
#cplusplus #ai #api #audio_generation #distributed #gemma #gpt4all #image_generation #kubernetes #llama #llama3 #llm #mamba #mistral #musicgen #p2p #rerank #rwkv #stable_diffusion #text_generation #tts
LocalAI is a free, open-source alternative to OpenAI that you can run on your own computer or server. It allows you to generate text, images, and audio locally without needing a GPU. You can use it with various models and it supports multiple functionalities like text-to-audio, audio-to-text, and image generation. LocalAI is easy to set up using an installer script or Docker, and it has a user-friendly web interface. This tool is beneficial because it saves you money by not requiring cloud services and gives you full control over your data privacy. Plus, it's community-driven, so there are many resources and integrations available to help you get started and customize it to your needs.
https://github.com/mudler/LocalAI
LocalAI is a free, open-source alternative to OpenAI that you can run on your own computer or server. It allows you to generate text, images, and audio locally without needing a GPU. You can use it with various models and it supports multiple functionalities like text-to-audio, audio-to-text, and image generation. LocalAI is easy to set up using an installer script or Docker, and it has a user-friendly web interface. This tool is beneficial because it saves you money by not requiring cloud services and gives you full control over your data privacy. Plus, it's community-driven, so there are many resources and integrations available to help you get started and customize it to your needs.
https://github.com/mudler/LocalAI
GitHub
GitHub - mudler/LocalAI: :robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop…
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf,...
#python #auto_regressive_model #autoregressive_models #diffusion_models #generative_ai #generative_model #gpt #gpt_2 #image_generation #large_language_models #neurips #transformers #vision_transformer
VAR (Visual Autoregressive Modeling) is a new way to generate images that improves upon existing methods. It uses a "next-scale prediction" approach, which means it generates images from coarse to fine details, unlike the traditional method of predicting pixel by pixel. This makes VAR models better than diffusion models for the first time. You can try VAR on a demo website and generate images interactively, which is fun and easy. VAR also follows power-law scaling laws, making it efficient and scalable. The benefit to you is that you can create high-quality images quickly and easily, and even explore technical details through provided scripts and models.
https://github.com/FoundationVision/VAR
VAR (Visual Autoregressive Modeling) is a new way to generate images that improves upon existing methods. It uses a "next-scale prediction" approach, which means it generates images from coarse to fine details, unlike the traditional method of predicting pixel by pixel. This makes VAR models better than diffusion models for the first time. You can try VAR on a demo website and generate images interactively, which is fun and easy. VAR also follows power-law scaling laws, making it efficient and scalable. The benefit to you is that you can create high-quality images quickly and easily, and even explore technical details through provided scripts and models.
https://github.com/FoundationVision/VAR
GitHub
GitHub - FoundationVision/VAR: [NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official…
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predi...
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