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Sloppah - Mugen
Attempt to sloppify Mugen SDXL, was trained with 3.7k images actually handpicked (unlike other liars) for 150 epochs on 1536 target resolution.
PsychoMix ZiT (v5.0)
Back after a couple of weeks' distraction working on other projects.
Qwen2.5 1.5B Instruct
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the...
[SD1.5 & SDXL] simple inpaint workflow (Basic)
This workflow is designed for use with both the SD1.5 model and the SDXL model, providing a versatile inpainting solution.
Clip Vit Large Patch14
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
Paraphrase Multilingual MiniLM L12 v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Nomic Embed Text v1.5
Blog | Technical Report | AWS SageMaker | Nomic Platform
Bge Small En v1.5
Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License
[FLUX] PuLID + LORA simple workflow (Basic, Beginner) — v1.0
This workflow is designed to help you easily understand how to generate consistent faces using PuLID in Flux.
surreijl
☺ showcase 832x1216 without Adetailer or Hires
Chronos 2
Update Jun 5, 2026: ☁️ Deploy Chronos-2 on AWS with AutoGluon-Cloud. Real-time, serverless, or batch inference in 3 lines of code — pandas DataFrames in, forecasts out. Check out the new deployment guide.
Wespeaker Voxceleb Resnet34 LM
Using this open-source model in production? Consider switching to pyannoteAI for better and faster options.
Ms Marco MiniLM L6 v2
license: apache-2.0 datasets: sentence-transformers/msmarco language: en basemodel: cross-encoder/ms-marco-MiniLM-L12-v2 pipelinetag: text-ranking libraryname: sentence-transformers tags: transformers
Mobilenetv3 Small 100.lamb In1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in timm using recipe template described below.
Electra Base Discriminator
ELECTRA is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input...
