Embeddings - Negative prompts - a Mdubbya Collection

Mdubbya 's Collections

Reasoning Datasets for CoT (emulate R1)

Models - Video-to-World

Datasets - long writing

Models - Multimodal

Models - Hacking

Models - Coding

Datasets - Medical

Datasets - Uncensored

Dataset - Pictures

Datasets - Coding

Datasets - Diverse

Models - Foundational

Models - Text Generation

Models - Theorem proving

Datasets - Theorem proving

Models - Vision

Models - Law and Legal

Models - Synthetic data generation

Embeddings - Text

Embeddings - Negative prompts

LoRA - Text to Image

Embeddings - Text to Image

Models - Prompt Engineers

Models - Text Generation Response Expanded

Datasets - text classification

Models - Rerankers

Models - Android compatible

Models - Text-to-Image ControlNet

Models - Image Encoder

Models - Text-to-Speech

Models - Uncensored

Models - Roleplay & Storytelling

Datasets - Videos

Datasets - Prompt engineering

Encoders - Text

Datasets - Text-to-Image

Datasets - Image-to-Video

Image Upscalers

Datasets - Law & legal

Datasets - finance

Models - Smartphones

Datasets - Role-playing

Datasets - Math

Datasets - Function Calling

Models - Visual Language Models (VLM)

Models - Function Calling

Embeddings - Negative prompts

updated Aug 20, 2024