Search Results for "python tools"
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Showing 16 open source projects for "python tools"
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Stable Diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Stable Diffusion Version 2. The Stable Diffusion project, developed by Stability AI, is a cutting-edge image synthesis model that utilizes latent diffusion techniques for high-resolution image generation. It offers an advanced method of generating images based on text input, making it highly flexible for various creative applications. The repository contains pretrained models, various checkpoints, and tools to facilitate image generation tasks, such as fine-tuning and modifying the models... -
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Hunyuan3D 2.0
High-Resolution 3D Assets Generation with Large Scale Diffusion Models
... for deployment through tools like Blender and Hugging Face. -
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Qwen
Qwen (通义千问) chat/pretrained large language model Alibaba Cloud
Qwen is a series of large language models developed by Alibaba Cloud, consisting of various pretrained versions like Qwen-1.8B, Qwen-7B, Qwen-14B, and Qwen-72B. These models, which range from smaller to larger configurations, are designed for a wide range of natural language processing tasks. They are openly available for research and commercial use, with Qwen's code and model weights shared on GitHub. Qwen's capabilities include text generation, comprehension, and conversation, making it a... -
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DiffRhythm
Di♪♪Rhythm: Blazingly Fast & Simple End-to-End Song Generation
DiffRhythm is an open-source, diffusion-based model designed to generate full-length songs. Focused on music creation, it combines advanced AI techniques to produce coherent and creative audio compositions. The model utilizes a latent diffusion architecture, making it capable of producing high-quality, long-form music. It can be accessed on Huggingface, where users can interact with a demo or download the model for further use. DiffRhythm offers tools for both training and inference, and its... -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model
Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is... -
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GLM-4-32B-0414
Open Multilingual Multimodal Chat LMs
... with reinforcement learning and human preference alignment for improved instruction-following and function calling. Variants like GLM-Z1-32B-0414 offer deep reasoning and advanced mathematical problem-solving, while GLM-Z1-Rumination-32B-0414 specializes in long-form, complex research-style writing using scaled reinforcement learning and external search tools. Despite its large capacity, the model supports user-friendly local deployment and efficient fine-tuning with available scripts. -
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CSM (Conversational Speech Model)
A Conversational Speech Generation Model
The CSM (Conversational Speech Model) is a speech generation model developed by Sesame AI that creates RVQ audio codes from text and audio inputs. It uses a Llama backbone and a smaller audio decoder to produce audio codes for realistic speech synthesis. The model has been fine-tuned for interactive voice demos and is hosted on platforms like Hugging Face for testing. CSM offers a flexible setup and is compatible with CUDA-enabled GPUs for efficient execution. -
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DeepSWE-Preview
State-of-the-art RL-trained coding agent for complex SWE tasks
DeepSWE-Preview is a 32.8B parameter open-source coding agent trained solely with reinforcement learning (RL) to perform complex software engineering (SWE) tasks. Built on top of Qwen3-32B, it achieves 59% accuracy on the SWE-Bench-Verified benchmark—currently the highest among open-weight models. The model navigates and edits large codebases using tools like a file editor, bash execution, and search, within the R2E-Gym environment. Its training emphasizes sparse reward signals, test-time... -
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starcoder
Code generation model trained on 80+ languages with FIM support
StarCoder is a 15.5B parameter language model developed by BigCode for code generation tasks across more than 80 programming languages. It is trained on 1 trillion tokens from the permissively licensed dataset The Stack v1.2, using the Fill-in-the-Middle (FIM) objective and Multi-Query Attention to enhance performance. With an extended context window of 8192 tokens and pretraining in bfloat16, StarCoder can generate, complete, or refactor code in various languages, with English as the... -
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FLUX.1-dev
Powerful 12B parameter model for top-tier text-to-image creation
... scientific research and innovative creative workflows under a non-commercial license. It integrates smoothly with popular tools like the Diffusers library and ComfyUI, offering flexible options for local and cloud-based inference. The model supports generating large, detailed images up to 1024x1024 resolution with customizable parameters such as guidance scale and inference steps. -
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stable-diffusion-v1-4
Text-to-image diffusion model for high-quality image generation
... Diffusers library and supports both PyTorch and JAX/Flax frameworks, offering flexibility across GPUs and TPUs. Though powerful, the model has limitations with compositional logic, photorealism, non-English prompts, and rendering accurate text or faces. Intended for research and creative exploration, it includes safety tools to detect NSFW content but may still reflect dataset biases. Users are advised to follow responsible AI practices and avoid harmful, unethical, or out-of-scope applications. -
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Llama-2-7b-chat-hf
Dialogue-optimized 7B language model for safe and helpful chatting
Llama-2-7b-chat-hf is a fine-tuned large language model developed by Meta, designed specifically for dialogue use cases. With 7 billion parameters and built on an optimized transformer architecture, it uses supervised fine-tuning and reinforcement learning with human feedback (RLHF) to enhance helpfulness, coherence, and safety. It outperforms most open-source chat models and rivals proprietary systems like ChatGPT in human evaluations. Trained on 2 trillion tokens of public text and over 1... -
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Llama-3.1-8B-Instruct
Multilingual 8B-parameter chat-optimized LLM fine-tuned by Meta
Llama-3.1-8B-Instruct is a multilingual, instruction-tuned language model developed by Meta, designed for high-quality dialogue generation across eight languages, including English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai. It uses a transformer-based, autoregressive architecture with Grouped-Query Attention and supports a 128k token context window. The model was fine-tuned using a combination of supervised fine-tuning (SFT), reinforcement learning with human feedback... -
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Meta-Llama-3-8B-Instruct
Instruction-tuned 8B LLM by Meta for helpful, safe English dialogue
... available data and more than 10 million human-annotated examples, it excludes any Meta user data. The model is released under the Meta Llama 3 Community License, which allows commercial use for organizations with fewer than 700 million MAUs, and imposes clear use, attribution, and redistribution rules. Meta provides safety tools like Llama Guard 2 and Code Shield to help developers implement system-level safety in applications. -
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stable-diffusion-2-1
Latent diffusion model for high-quality text-to-image generation
...++ license, it permits research and commercial use with specific content restrictions. Stable Diffusion 2.1 is designed for creative tasks such as digital art, design prototyping, and educational tools, but is not suitable for generating factual representations or non-English content. The model was trained on filtered subsets of LAION-5B, with additional steps to reduce NSFW content. -
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bge-m3
BGE-M3 is a multilingual embedding model
... self-knowledge distillation and unified fine-tuning strategies to align its performance across all modes. It achieves state-of-the-art results in several multilingual and long-document retrieval benchmarks, surpassing models from OpenAI in certain tests. Designed to integrate with tools like Milvus and Vespa, BGE-M3 enables efficient hybrid retrieval pipelines and downstream scoring via re-ranking models.
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