enact
stable-diffusion-webui
enact | stable-diffusion-webui | |
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2 | 2,808 | |
56 | 132,386 | |
- | - | |
8.8 | 9.9 | |
20 days ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | MIT |
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enact
- Show HN: Monte Carlo Tree Search for Poetry Using GPT
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I Made Stable Diffusion XL Smarter by Finetuning It on Bad AI-Generated Images
You may be interested in the open source framework we're developing at https://github.com/agentic-ai/enact
It's still early, but the core insight is that a lot of these generative AI flows (whether text, image, single models, model chains, etc) will need to be fit via some form of feedback signal, so it makes sense to build some fundamental infrastructure to support that. One of the early demos (not currently live, but I plan on bringing it back soon) was precisely the type of flow you're talking about, although we used 'prompt refinement' as a cheap proxy for tuning the actual model weights.
Roughly, we aim to build out core python-level infra that makes it easy to write flows in mostly native python and then allows you track executions of your generative flows, including executions of 'human components' such as raters. We also support time travel / rewind / replay, automatic gradio UIs, fastAPI (the latter two very experimental atm).
Medium term we want to make it easy to take any generative flow, wrap it in a 'human rating' flow, auto-deploy as an API or gradio UI and then fit using a number of techniques, e.g., RLHF, finetuning, A/B testing of generative subcomponents, etc, so stay tuned.
At the moment, we're focused on getting the 'bones' right, but between the quickstart (https://github.com/agentic-ai/enact/blob/main/examples/quick...) and our readme (https://github.com/agentic-ai/enact/tree/main#why-enact) you get a decent idea of where we're headed.
We're looking for people to kick the tires / contribute, so if this sounds interesting, please check it out.
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1 • python: 3.10.13 • torch: 2.0.1+cu118 • xformers: 0.0.20 • gradio: 3.41.2 • checkpoint: 6e8d4871f8
What are some alternatives?
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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]
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
SHARK - SHARK - High Performance Machine Learning Distribution
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
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.
safetensors - Simple, safe way to store and distribute tensors
sd-webui-additional-networks
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI