Found 30 repositories(showing 30)
TencentARC
T2I-Adapter
finegrain-ai
A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
atfortes
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
haofanwang
Transfer the T2I-Adapter with any basemodel in diffusers🔥
cloneofsimo
No description available
AMorporkian
A SDXL compatible T2I-adapter implementation using Diffusers including a training script
replicate
No description available
camenduru
No description available
fhdnskfbeuv
Jailbreaking T2I-DM equipped with the IP-Adapter
aihpi
An interactive AI tool that transforms simple sketches into detailed images in various artistic styles.
camenduru
No description available
quocnhut134
This project implements a deep learning pipeline to generate realistic human faces from sketches. The core focus is on handling "imperfect" or "bad" sketches, simulating real-world user input.
enkaranfiles
Enhancing Stable Diffusion Composition Power by Adapter Network
linhduongtuan
No description available
hbhmbk
支持多视觉输入的 T2I Adapter
Justin21523
Hands-on notebooks for Stable Diffusion & open T2I models — dataset prep → LoRA/DreamBooth fine-tuning → ControlNet/IP-Adapter → batch pipelines → LLM/RAG prompt automation.
ebjaime
Enhancing test generation for Autonomous Driving using multiple conditionings Probabilistic Diffusion Models
Justin21523
Mass-scale anime character T2I fine-tuning lab (SD/SDXL + LoRA/ControlNet/IP-Adapter) with a shared warehouse (AI_CACHE_ROOT), FastAPI backend, WebUI & PyQt desktop, and batch generation.
MackorLab
No description available
jocoandonob
No description available
Pratikkalani
No description available
BalakumaranM
No description available
DMakiz
No description available
htuann2712
No description available
hbhmbk
支持多视觉输入的 T2I Adapter
T-AIMaven
No description available
sherry55718
No description available
ControlNet and T2I adapter implementation for fine-tuning sketch to image task on Cleb datasets.
WonwoongCho
[ICCV 2025] Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder
Text-Neck-Hub
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