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查看技能说明Dreambooth Stable Diffusion
JoePenna
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/ab…
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查看技能说明JoePenna
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/ab…
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查看技能说明ziqihuangg
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查看技能说明huggingface
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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查看技能说明invoke-ai
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest…
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查看技能说明nateraw
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
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查看技能说明AUTOMATIC1111
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查看技能说明yl4579
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
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查看技能说明leejet
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
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adobe-research
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
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查看技能说明pkuliyi2015
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0
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查看技能说明poloclub
A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
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查看技能说明receyuki
A simple standalone viewer for reading prompts from Stable Diffusion generated image outside the webui.
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查看技能说明omerbt
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
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查看技能说明dailenson
Official Code for ECCV 2024 paper — One-Shot Diffusion Mimicker for Handwritten Text Generation
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查看技能说明opendatalab
A diffusion-based framework for document OCR that replaces autoregressive decoding with block-level parallel diffusion decoding.