torcheval VS stable-diffusion-webui

Compare torcheval vs stable-diffusion-webui and see what are their differences.

torcheval

A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations. (by pytorch)
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torcheval stable-diffusion-webui
3 2,808
196 133,415
5.1% -
7.5 9.9
about 1 month ago 5 days ago
Python Python
GNU General Public License v3.0 or later MIT
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

torcheval

Posts with mentions or reviews of torcheval. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-15.
  • How Is LLaMa.cpp Possible?
    11 projects | news.ycombinator.com | 15 Aug 2023
    Reading this could make people believe it is computed from the probability distribution of the model alone.

    To be clearer, it is the exponent of the average negative log probability that the model gives to the real tokens of a sample text[0]. Roughly, it relates to how strongly the model can predict the sample text. A perfect model would have zero perplexity; a random model has a perplexity equal to the number of possible tokens; the worst model has infinite perplexity.

    [0]: https://github.com/pytorch/torcheval/blob/3faf19c060b8a7c074...

  • What skills are necessary to understand/be able to make meaningful contributions to PyTorch?
    2 projects | /r/pytorch | 4 Jan 2023
    Shameless plug, my team works on torcheval and torchtnt. Neither of them are core pytorch, but if you're looking to help build out tooling for metric evaluation or training frameworks, both libraries are pretty new with very low hanging fruit.
  • [D] AMA: The Stability AI Team
    6 projects | /r/MachineLearning | 15 Nov 2022
    Hey I work on TorchEval let us know if we can be of any help here :)

stable-diffusion-webui

Posts with mentions or reviews of stable-diffusion-webui. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

What are some alternatives?

When comparing torcheval and stable-diffusion-webui you can also consider the following projects:

tnt - A lightweight library for PyTorch training tools and utilities

stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]

llama.cpp - LLM inference in C/C++

ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

polyglot - Polyglot: Large Language Models of Well-balanced Competence in Multi-languages

SHARK - SHARK - High Performance Machine Learning Distribution

ggllm.cpp - Falcon LLM ggml framework with CPU and GPU support

lora - Using Low-rank adaptation to quickly fine-tune diffusion models.

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

stable-diffusion - A latent text-to-image diffusion model

safetensors - Simple, safe way to store and distribute tensors

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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