diffusionbee-stable-diffusion-ui
stable-diffusion
diffusionbee-stable-diffusion-ui | stable-diffusion | |
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141 | 383 | |
11,941 | 65,504 | |
- | 1.1% | |
4.4 | 0.0 | |
2 months ago | 25 days ago | |
JavaScript | Jupyter Notebook | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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diffusionbee-stable-diffusion-ui
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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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Easy Stable Diffusion XL in your device, offline
Interesting, will check it out to see how it compares with https://diffusionbee.com which I am using for last few months for fun.
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Google is embedding inaudible watermarks right into its AI generated music
It depends on what you are planning to do. Stable diffusion works great locally on both the dell+linux and the mac laptop I tried it on. This one was easy to use while exploring models from huggingface: https://diffusionbee.com/
- DiffusionBee - Stable Diffusion App for AI Art
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How do I install stable diffusion on my Mac Air? My midjourney subscription expired, and I don’t wanna pay another 60 a month. So I wanna try a new service.
diffusion bee is the easiest app to use.
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Are there any good and safe apps for ai art?
If you have a Mac, I highly recommend DiffusionBee. It’s an app you can install on your computer and use as much as you want (even offline) for free. The website has older downloads but if you go here you can get the latest beta with more features: https://github.com/divamgupta/diffusionbee-stable-diffusion-ui/releases
- Diffusion Bee for Mac new version 2 beta out
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Stable Diffusion Intel Mac?
Try these first: 1. https://drawthings.ai/ 2. https://diffusionbee.com/
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Useful Links
Diffusion Bee
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How do you guys go about making art for your releases?
If you have a Mac, you can try this out too offline for free - https://diffusionbee.com (Go into the settings to make it the largest image size and you can also upscale it afterward - helpful for submitting larger artwork dimensions to distributors).
stable-diffusion
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Top 7 Text-to-Image Generative AI Models
Stable Diffusion: It is based on a kind of diffusion model called a latent diffusion model, which is trained to remove noise from images in an iterative process. It is one of the first text-to-image models that can run on consumer hardware and has its code and model weights publicly available.
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Go is bigger than crab!
Which is a 1-click install of Stable Diffusion with an alternative web interface. You can choose a different approach but this one is pretty simple and I am new to this stuff.
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Why & How to check Invisible Watermark
an invisible watermarking of the outputs, to help viewers identify the images as machine-generated.
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How to create an Image generating AI?
It sounds like you just want to set up Stable Diffusion to run locally. I don't think your computer's specs will be able to do it. You need a graphics card with a decent amount of VRAM. Stable diffusion is in Python as is almost every AI open source project I've seen. If you can get your hands on a system with an Nvidia RTX card with as much VRAM as possible, you're in business. I have an RTX 3060 with 12 gigs of VRAM and I can run stable diffusion and a whole variety of open source LLMs as well as other projects like face swap, Roop, tortoise TTS, sadtalker, etc...
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Two video cards...one dedicated to Stable Diffusion...the other for everything else on my PC?
Use specific GPU on multi GPU systems · Issue #87 · CompVis/stable-diffusion · GitHub
- Automatic1111 - Multiple GPUs
- Ist Google inzwischen einfach unbrauchbar?
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Why are people so against compensation for artists?
I dealt with this in one of my posts. At least SD 1.1 till 1.5 are all trained on a batch size of 2048. The version pretty much everyone uses (1.5) is first pretrained at a resolution of 256x256 for 237K steps on laion2B-en, at the end of those training steps it will have seen roughly 500M images in laion2B-en. After that it is pre-trained for 194K steps on laion-high-resolution at a resolution of 512x512, which is a subset of 170M images from laion5B. Finally it is trained for 1.110K steps on LAION aesthetic v2 5+. This is easily verified by taking a glance at the model card of SD 1.5. Though that one doesn't specify for part of the training exactly which aesthetic set was used for part of the training, for that you have to look at the CompVis github repo. Thus at the end of it all both the most recent images and the majority of images will have come from LAION aesthetic v2 5+ (seeing every image approx 4 times). Realistically a lot of the weights obtained from pretraining on 2B will have been lost, and only provided a good starting point for the weights.
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Is SDXL really open-source?
stable diffusion · CompVis/stable-diffusion@2ff270f · GitHub
- I want to ask the AI to draw me as a Pokemon anime character then draw six of Pokemon of my choice next to me. What are my best free, 15$ or under and 30$ or under choices?
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
a1111-sd-webui-tagcomplete - Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
diffusers-uncensored - Uncensored fork of diffusers
MochiDiffusion - Run Stable Diffusion on Mac natively
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
onnx - Open standard for machine learning interoperability