Futurism: "The Company Behind Stable Diffusion Appears to Be At Risk of Going Under"

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

Judoscale - Save 47% on cloud hosting with autoscaling that just works
Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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  1. RWKV-LM

    RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

    We fund huge amounts of open source AI, for example one of the best open language models with millions of dollars of compute: https://github.com/BlinkDL/RWKV-LM

  2. Judoscale

    Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

    Judoscale logo
  3. ComfyUI

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

    I had lots of fun implementing them in my ComfyUI and I'm having lots of fun playing around with them. They are a real step forward.

  4. stablediffusion

    High-Resolution Image Synthesis with Latent Diffusion Models

  5. stable-diffusion-webui

    Stable Diffusion web UI

  6. civitai

    A repository of models, textual inversions, and more

    Hell, just look at what people can create with more specific models, with some effort to categorize their training images and a decent 16GB video card. One person can do that. It takes a bit more time and resources to create a generalist model, but it's not something that only large corpos can do.

  7. stable-diffusion-webui-pixelization

    stable-diffusion-webui-pixelization

    Astropulse makes a good model but it's paid. You can get good results using Pixhell from CivitAI and running it through the pixelation filter. https://github.com/AUTOMATIC1111/stable-diffusion-webui-pixelization.git

  8. DALLE-mtf

    Open-AI's DALL-E for large scale training in mesh-tensorflow.

    It is true that Emad needs to find an appropriate business model. The good news is that the hype is still undergoing. I'm sure that Emad can grab another round of liquidity injection. He got plenty of resources. Remember he is also from the finance industry. He got https://www.eleuther.ai/ which can supply a secured, in-house custom LLM equivalent to bloombergGPT.

  9. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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