Resource directory
Find what you need for your workflow.
Guides: techniques, setup, and troubleshootingSearch Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
All resources
20 shown of 41,685
Video Depth Anything Small
This repository contains the model described in Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.
Qwen2 5 Vl 3b BDD X v1
This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct using BDD-X dataset. It has been trained using TRL.
Wav2Vec2 Dialect Arabic
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Gemma 4 E4b Inv Rep
Developed by: dkingtutcd License: apache-2.0 Finetuned from model : unsloth/gemma-4-e4b-it-unsloth-bnb-4bit
IndexTTS Postrain
bigvgandiscriminator.pth bigvgangenerator.pth bpe.model (tokenizer) config.yaml (original inference configuration) gpt.pth (backbone transformer) dvae.pth (use for getting training audio tokens) unigram12000.vocab...
ViTP InternVL 1B Med
ViTP (Visual Instruction Pretraining) vision backbone — InternVL 1B variant pretrained on medical imaging domain visual instruction data. Compatible with InternVisionModel from InternVL.
Wav2vec2 Large Robust 12 Ft Emotion Msp Dim
Please note that this model is for research purpose only. A commercial license for a model that has been trained on much more data can be acquired with audEERING. The model expects a raw audio signal as input, and...
Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('bingwu871/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
RetFormerTrainedOnHDMB51
RetFormer is a hybrid video classification model that replaces the temporal attention in TimeSformer with RetNet, achieving:
Medical Skin Anatomy Segmentatio
If you find this model useful, please consider supporting me on Patreon to help cover cloud GPU computing costs for training future versions (like the upcoming V6)!
Videomae Base Finetuned Ucf101 Subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.5171 Accuracy: 0.8129
Twguard
TWGuard 是一個推論安全研究計畫,旨在提出適用於臺灣語境,的大語言模型安全護欄(LLM guardrail),以滿足 AI 技術落地安全合規需求。
Naflexvit Base Patch16 Siglip.v2 Webli
SigLIP-2 ( B/16 NaFlex ViT encoder weights for timm NaFlexViT
ControlNet Inpainting 104
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Nsfw Text To Image
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
ControlNet Recolor SDXL FP16
from diffusers import ControlNetModel import torch
Gemma 4 26B A4B GGUF
> [!IMPORTANT] > This model is automatically converted using
Speechbrain Finetuned IEMOCAP
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
TRELLIS.2 4B
TRELLIS.2 is a state-of-the-art large 3D generative model designed for high-fidelity image-to-3D generation. It leverages a novel "field-free" sparse voxel structure termed O-Voxel and a large-scale flow-matching...
My Awesome Video Cls Model
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.1814 Accuracy: 0.5143
