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Attend-and-Excite Alternatives
Similar projects and alternatives to Attend-and-Excite
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semantic-draw
Official code for the CVPR 2025 paper "SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models."
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stable-diffusion-aesthetic-gradients
Personalization for Stable Diffusion via Aesthetic Gradients 🎨
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japanese-stable-diffusion
Discontinued Japanese Stable Diffusion is a Japanese specific latent text-to-image diffusion model capable of generating photo-realistic images given any text input. [GET https://api.github.com/repos/rinnakk/japanese-stable-diffusion: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
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MultiDiffusion
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
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Stable-Diffusion
Discontinued FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod [GET https://api.github.com/repos/FurkanGozukara/Stable-Diffusion: 404 - Not Found // See: https://docs.github.com/rest] (by FurkanGozukara)
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awesome-generative-ai
A curated list of Generative AI tools, works, models, and references (by filipecalegario)
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Attend-and-Excite discussion
Attend-and-Excite reviews and mentions
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Several different animals. Not morphing
You wait for Attend-and-Excite to get implemented in your favorite SD environment (and it never does).
- Attend and Excite (More Prompt Control)
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[2301.13826] Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
https://github.com/AttendAndExcite/Attend-and-Excite - they have a GitHub page with code.
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Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Code : https://github.com/AttendAndExcite/Attend-and-Excite
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A note from our sponsor - SaaSHub
www.saashub.com | 10 Aug 2026
Stats
yuval-alaluf/Attend-and-Excite is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Attend-and-Excite is Jupyter Notebook.
Popular Comparisons
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