{"data":{"node":{"slug":"bentoml-bentodiffusion","name":"BentoDiffusion","tagline":"Collection of diffusion models served with BentoML","github_url":"https://github.com/bentoml/BentoDiffusion","owner":"bentoml","repo":"BentoDiffusion","owner_avatar_url":"https://avatars.githubusercontent.com/u/49176046?v=4","primary_language":"Python","stars":389,"forks":29,"topics":["ai","diffusion-models","fine-tuning","kubernetes","lora","model-serving","stable-diffusion"],"archived":false,"github_pushed_at":"2026-07-14T16:58:20+00:00","maintenance_label":"Steady","stars_delta_30d":1,"url":"https://www.graphcanon.com/tools/bentoml-bentodiffusion","markdown_url":"https://www.graphcanon.com/tools/bentoml-bentodiffusion.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bentoml-bentodiffusion","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bentoml-bentodiffusion"},"categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"diffusion-models","name":"diffusion-models"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"kubernetes","name":"kubernetes"},{"slug":"lora","name":"lora"},{"slug":"model-serving","name":"model-serving"},{"slug":"stable-diffusion","name":"stable-diffusion"}],"edges":[],"neighbours":[{"slug":"compvis-stable-diffusion","name":"stable-diffusion","tagline":"A latent text-to-image diffusion model","github_url":"https://github.com/CompVis/stable-diffusion","owner":"CompVis","repo":"stable-diffusion","owner_avatar_url":"https://avatars.githubusercontent.com/u/30233788?v=4","primary_language":"Jupyter Notebook","stars":73442,"forks":10570,"topics":[],"archived":false,"github_pushed_at":"2024-06-18T01:53:49+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/compvis-stable-diffusion","markdown_url":"https://www.graphcanon.com/tools/compvis-stable-diffusion.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/compvis-stable-diffusion","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=compvis-stable-diffusion","shared_categories":["model-training"]},{"slug":"aishwaryanr-awesome-generative-ai-guide","name":"awesome-generative-ai-guide","tagline":"A one stop repository for generative AI research updates, interview resources, notebooks and much more!","github_url":"https://github.com/aishwaryanr/awesome-generative-ai-guide","owner":"aishwaryanr","repo":"awesome-generative-ai-guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/12550285?v=4","primary_language":"HTML","stars":29463,"forks":5953,"topics":["awesome","awesome-list","generative-ai","interview-questions","large-language-models","llms","notebook-jupyter","vision-and-language"],"archived":false,"github_pushed_at":"2026-09-17T23:53:08+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/aishwaryanr-awesome-generative-ai-guide","markdown_url":"https://www.graphcanon.com/tools/aishwaryanr-awesome-generative-ai-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aishwaryanr-awesome-generative-ai-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aishwaryanr-awesome-generative-ai-guide","shared_categories":["model-training"]},{"slug":"diff-usion-awesome-diffusion-models","name":"Awesome-Diffusion-Models","tagline":"A collection of resources and papers on Diffusion Models","github_url":"https://github.com/diff-usion/Awesome-Diffusion-Models","owner":"diff-usion","repo":"Awesome-Diffusion-Models","owner_avatar_url":"https://avatars.githubusercontent.com/u/64852725?v=4","primary_language":"HTML","stars":12371,"forks":1010,"topics":["artificial-intelligence","diffusion-models","generative-model","machine-learning","score-based","score-matching"],"archived":false,"github_pushed_at":"2024-08-01T07:11:20+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/diff-usion-awesome-diffusion-models","markdown_url":"https://www.graphcanon.com/tools/diff-usion-awesome-diffusion-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/diff-usion-awesome-diffusion-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=diff-usion-awesome-diffusion-models","shared_categories":["model-training"]},{"slug":"bentoml-bentoml","name":"BentoML","tagline":"The easiest way to serve AI apps and models","github_url":"https://github.com/bentoml/BentoML","owner":"bentoml","repo":"BentoML","owner_avatar_url":"https://avatars.githubusercontent.com/u/49176046?v=4","primary_language":"Python","stars":8847,"forks":1032,"topics":["ai-inference","deep-learning","generative-ai","inference-platform","llm","llm-inference","llm-serving","llmops","machine-learning","ml-engineering","mlops","model-inference-service","model-serving","multimodal","python"],"archived":false,"github_pushed_at":"2026-09-07T17:43:01+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/bentoml-bentoml","markdown_url":"https://www.graphcanon.com/tools/bentoml-bentoml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bentoml-bentoml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bentoml-bentoml","shared_categories":["inference-serving"]},{"slug":"foundationvision-var","name":"VAR","tagline":"Official implementation of Visual Autoregressive Modeling for scalable image generation","github_url":"https://github.com/FoundationVision/VAR","owner":"FoundationVision","repo":"VAR","owner_avatar_url":"https://avatars.githubusercontent.com/u/151817217?v=4","primary_language":"Jupyter Notebook","stars":8731,"forks":571,"topics":["auto-regressive-model","autoregressive-models","diffusion-models","generative-ai","generative-model","gpt","gpt-2","image-generation","large-language-models","neurips","transformers","vision-transformer"],"archived":false,"github_pushed_at":"2025-11-10T21:42:29+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/foundationvision-var","markdown_url":"https://www.graphcanon.com/tools/foundationvision-var.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/foundationvision-var","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=foundationvision-var","shared_categories":["model-training"]},{"slug":"alembics-disco-diffusion","name":"disco-diffusion","tagline":"AI Art and Animations Generation","github_url":"https://github.com/alembics/disco-diffusion","owner":"alembics","repo":"disco-diffusion","owner_avatar_url":"https://avatars.githubusercontent.com/u/100251391?v=4","primary_language":"Jupyter Notebook","stars":7397,"forks":1086,"topics":[],"archived":false,"github_pushed_at":"2023-07-09T06:30:00+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/alembics-disco-diffusion","markdown_url":"https://www.graphcanon.com/tools/alembics-disco-diffusion.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alembics-disco-diffusion","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alembics-disco-diffusion","shared_categories":["model-training"]},{"slug":"luban-agi-awesome-aigc-tutorials","name":"Awesome-AIGC-Tutorials","tagline":"Curated tutorials and resources for Large Language Models, AI Painting, and more","github_url":"https://github.com/luban-agi/Awesome-AIGC-Tutorials","owner":"luban-agi","repo":"Awesome-AIGC-Tutorials","owner_avatar_url":"https://avatars.githubusercontent.com/u/142385464?v=4","primary_language":null,"stars":4547,"forks":298,"topics":["ai","aigc","awesome","chatgpt","courses-resource","deep-learning","llm","midjourney","multimodal","nlp","prompt-engineering","stable-diffusion","tutorials"],"archived":false,"github_pushed_at":"2024-03-31T09:18:04+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/luban-agi-awesome-aigc-tutorials","markdown_url":"https://www.graphcanon.com/tools/luban-agi-awesome-aigc-tutorials.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/luban-agi-awesome-aigc-tutorials","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials","shared_categories":["model-training"]},{"slug":"nvidia-generativeaiexamples","name":"GenerativeAIExamples","tagline":"Generative AI reference workflows for accelerated infrastructure and microservice architecture","github_url":"https://github.com/NVIDIA/GenerativeAIExamples","owner":"NVIDIA","repo":"GenerativeAIExamples","owner_avatar_url":"https://avatars.githubusercontent.com/u/1728152?v=4","primary_language":"Jupyter Notebook","stars":4149,"forks":1095,"topics":["gpu-acceleration","large-language-models","llm","llm-inference","microservice","nemo","rag","retrieval-augmented-generation","tensorrt","triton-inference-server"],"archived":false,"github_pushed_at":"2026-08-05T16:54:49+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/nvidia-generativeaiexamples","markdown_url":"https://www.graphcanon.com/tools/nvidia-generativeaiexamples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nvidia-generativeaiexamples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nvidia-generativeaiexamples","shared_categories":["inference-serving"]},{"slug":"filipecalegario-awesome-generative-ai","name":"awesome-generative-ai","tagline":"A comprehensive list of generative AI resources","github_url":"https://github.com/filipecalegario/awesome-generative-ai","owner":"filipecalegario","repo":"awesome-generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/299057?v=4","primary_language":null,"stars":3539,"forks":885,"topics":["ai-art","awesome","awesome-list","chatgpt","dall-e","dalle2","embeddings","generative-ai","gpt-4","llm","llm-agent","midjourney","openai","prompt-engineering","semantic-search","stable-diffusion","text-to-image","txt2img"],"archived":false,"github_pushed_at":"2025-12-18T07:31:25+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/filipecalegario-awesome-generative-ai","markdown_url":"https://www.graphcanon.com/tools/filipecalegario-awesome-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/filipecalegario-awesome-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=filipecalegario-awesome-generative-ai","shared_categories":[]},{"slug":"nerogar-onetrainer","name":"OneTrainer","tagline":"A comprehensive tool for Diffusion model training","github_url":"https://github.com/Nerogar/OneTrainer","owner":"Nerogar","repo":"OneTrainer","owner_avatar_url":"https://avatars.githubusercontent.com/u/3390934?v=4","primary_language":"Python","stars":3211,"forks":327,"topics":["fine-tuning","image-model-training","lora","training"],"archived":false,"github_pushed_at":"2026-09-14T19:54:37+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nerogar-onetrainer","markdown_url":"https://www.graphcanon.com/tools/nerogar-onetrainer.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nerogar-onetrainer","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nerogar-onetrainer","shared_categories":["model-training"]},{"slug":"bghira-simpletuner","name":"SimpleTuner","tagline":"A Python-based general fine-tuning kit for image/video/audio diffusion models","github_url":"https://github.com/bghira/SimpleTuner","owner":"bghira","repo":"SimpleTuner","owner_avatar_url":"https://avatars.githubusercontent.com/u/59658056?v=4","primary_language":"Python","stars":2924,"forks":294,"topics":["diffusers","diffusion-models","fine-tuning","flux-dev","machine-learning","stable-diffusion"],"archived":false,"github_pushed_at":"2026-09-07T03:06:24+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/bghira-simpletuner","markdown_url":"https://www.graphcanon.com/tools/bghira-simpletuner.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bghira-simpletuner","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bghira-simpletuner","shared_categories":["model-training"]},{"slug":"genieincodebottle-generative-ai","name":"generative-ai","tagline":"Comprehensive resources on Generative AI including roadmaps, projects, and interview preparation","github_url":"https://github.com/genieincodebottle/generative-ai","owner":"genieincodebottle","repo":"generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/155415029?v=4","primary_language":"Jupyter Notebook","stars":2640,"forks":636,"topics":["agentic-ai","agentic-framework","claude","gemini","genai","genai-usecase","generative-ai","interview-questions","langchain","langgraph","large-language-model","llm-agent","llm-evaluation","mcp","model-context-protocol","multimodal","n8n","n8n-workflow","openai-api","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-09-13T17:46:14+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/genieincodebottle-generative-ai","markdown_url":"https://www.graphcanon.com/tools/genieincodebottle-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/genieincodebottle-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=genieincodebottle-generative-ai","shared_categories":["inference-serving"]}]}}