diffusionbee-stable-diffusion-ui
| swift-diffusion | diffusionbee-stable-diffusion-ui | |
|---|---|---|
| 6 | 141 | |
| 413 | 11,927 | |
| - | - | |
| 8.4 | 4.4 | |
| about 1 month ago | 2 months ago | |
| Swift | JavaScript | |
| BSD 3-clause "New" or "Revised" License | GNU Affero General Public License v3.0 |
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swift-diffusion
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Show HN: Run Stable Diffusion Directly on iPhone
I am going to put model related code we use in a public repo soon (it is very similar to https://github.com/liuliu/swift-diffusion but in NHWC format). ANE will be around 25s if it runs. DT's default only uses GPUs and 35s is on GPU (yes, like you said, upscaling would take extra 10s).
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Some notes on porting SD2 over to iPhone (or other platforms)
The text encoder uses a new vocabulary set, make sure you copied them from open_clip repo: https://github.com/mlfoundations/open_clip (I have these also available at: https://github.com/liuliu/swift-diffusion/tree/liu/unet/examples/open_clip
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Draw Things, Stable Diffusion in your pocket, 100% offline and free
Should be able too, if there is a need. I am more interested to support training hypernetwork from the app directly. The conversion script itself is open-source (https://github.com/liuliu/swift-diffusion/blob/main/examples/unet/main.swift), but not polished, and because Apple doesn't allow you to run Python on device, so I cannot make it as easy as typing a URL and get done. Need to figure out what the UX looks like without me providing a networked services ...
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Show HN: Draw Things, Stable Diffusion in your pocket, 100% offline
Hi, this is the first app in a while (probably 10 years) that I submitted to AppStore. I've done this app in 3 weeks, so there are a lot to be polished. The technology that enables this I discussed in depth in an accompanied blog post: https://liuliu.me/eyes/stretch-iphone-to-its-limit-a-2gib-mo...
Some parts of it (or major parts) is also available at https://github.com/liuliu/swift-diffusion. I plan to port more stuff back to swift-diffusion and make a CLI tool out of it (it is a bit more work than the app because I need to consider CUDA compatibility there).
AMA!
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).
What are some alternatives?
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
stable-diffusion-webui - Stable Diffusion web UI
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
a1111-sd-webui-tagcomplete - Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
diffusionbee-stable-diffusion-ui - Diffusion Bee
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
fickling - A Python pickling decompiler and static analyzer
MochiDiffusion - Run Stable Diffusion on Mac natively
open_clip - An open source implementation of CLIP.
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.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]