stable-diffusion
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stable-diffusion
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stable-diffusion | stable-diffusion | |
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142 | 382 | |
2,438 | 64,751 | |
- | 2.6% | |
9.8 | 0.0 | |
over 1 year ago | 8 days ago | |
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GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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stable-diffusion
- [Machine Learning] [P] Exécutez une diffusion stable sur le GPU de votre M1 Mac
- Its time!
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Anybody running SD on a Macbook Pro? What are you using and how did you install it?
Yes, you can install it with Python! https://github.com/lstein/stable-diffusion works with macOS, and you can control all the common parameter via their WebUI or CLI :)
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How do I save the arguments for images I create when using the terminal? (Apple M1 Pro)
I'm using lstein fork ("dream") and when I create an image from the terminal, it also writes back to the terminal like this:
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I Resurrected “Ugly Sonic” with Stable Diffusion Textual Inversion
Stable Diffusion is wild - the space has been quickly developing and watching the pace of development makes me reconsider what I consider "staggering". I've been blown away. The accessibility of this technology is even more incredible - there's even a fork that is working on M1 Macs (https://github.com/lstein/stable-diffusion)
We are in for some interesting times. Whatever the next iteration of Textual Inversion is will be extremely disruptive, especially if the concepts continue to be developed collectively.
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AI Seamless Texture Generator Built-In to Blender
Oh, it generates from a text prompt, not a sample texture. I thought this was just a tool to generate wrapped textures from non-wrapped ones.
The licensing is a mess. The Blender plug-in is GPL 3, the stable diffusion code is MIT, and the weights for the model have a very restrictive custom license.[1] Whether the weights, which are program-generated, are copyrightable is a serious legal question.
[1] https://github.com/lstein/stable-diffusion/blob/61f46cac31b5...
> Whenever I ask for something like ‘seamless tiling xxxxxx’ it kinda sorta gets the idea, but the resulting texture doesn’t quite tile right.
Getting seamless tiling requires more than just have "seamless tiling" in the prompt. It also depends on if the fork you're using has that feature at all.
https://github.com/lstein/stable-diffusion has the feature, but you need to pass it outside the prompt. So if you use the `dream.py` prompt cli, you can pass it `"Hats on the ground" --seamless` and it should be perfectly tilable.
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Auto SD Workflow - Update 0.2.0 - "Collections", Password Protection, Brand new UI + more
From https://github.com/lstein/stable-diffusion
Yes, works perfectly fine as of 1e8e5245ebca5211e271f35a3a849dee8f4793d2 which contains the performance improvements. Probably works fine with later commits too but I haven't personally tested them so won't vouch for it.
stable-diffusion
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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.
- Automatic1111 - Multiple GPUs
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Falcon 40B LLM which beats Llama license changed to Apache 2.0
Agree. The Stable Diffusion Open RAIL M license: "You agree not to use the Model or Derivatives of the Model ... To defame, disparage or otherwise harass others"
Does "disparage" have a settled meaning in law?
https://github.com/CompVis/stable-diffusion/blob/main/LICENS...
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question?
If you downloaded from https://github.com/CompVis/stable-diffusion that's the problem. It's the real Stable Diffusion, but not what you want to use to generate images. The most popular Stable Diffusion interface is https://github.com/AUTOMATIC1111/stable-diffusion-webui. Make sure to read the install instructions.
- Synthetic data generation for model training · Issue #350 · CompVis/stable-diffusion
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Not quite sure what this means practically but figured it might of interest to the community.
sure thing!
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Can I use SD to generate group pictures (of say, me and my cousin, or me and multiple cousins)?
Read the official docs for Stable Diffusion.
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
Stable Diffusion (2D Image Generation and Animation) https://github.com/CompVis/stable-diffusion (Stable Diffusion V1) https://huggingface.co/CompVis/stable-diffusion (Stable Diffusion Checkpoints 1.1-1.4) https://huggingface.co/runwayml/stable-diffusion-v1-5 (Stable Diffusion Checkpoint 1.5) https://github.com/Stability-AI/stablediffusion (Stable Difusion V2) https://huggingface.co/stabilityai/stable-diffusion-2-1/tree/main (Stable Diffusion Checkpoint 2.1) Stable Diffusion Automatic 1111 Webui and Extensions https://github.com/AUTOMATIC1111/stable-diffusion-webui (WebUI - Easier to use) PLEASE NOTE, MANY EXTENSIONS CAN BE INSTALLED FROM THE WEBUI BY CLICK "AVAILABLE" OR "INSTALL FROM URL" BUT YOU MAY STILL NEED TO DOWNLOAD THE MODEL CHECKPOINTS! https://github.com/Mikubill/sd-webui-controlnet (Control Net Extension - Use various models to control your image generation, useful for animation and temporal consistency) https://huggingface.co/lllyasviel/ControlNet/tree/main/models (Control Net Checkpoints -Canny, Normal, OpenPose, Depth, ect.) https://github.com/thygate/stable-diffusion-webui-depthmap-script (Depth Map Extension - Generate high-resolution depthmaps and animated videos or export to 3d modeling programs) https://github.com/graemeniedermayer/stable-diffusion-webui-normalmap-script (Normal Map Extension - Generate high-resolution normal maps for use in 3d programs) https://github.com/d8ahazard/sd_dreambooth_extension (Dream Booth Extension - Train your own objects, people, or styles into Stable Diffusion) https://github.com/deforum-art/sd-webui-deforum (Deforum - Generate Weird 2D animations) https://github.com/deforum-art/sd-webui-text2video (Deforum Text2Video - Generate videos from texts prompts using ModelScope or VideoCrafter)
What are some alternatives?
waifu-diffusion - stable diffusion finetuned on weeb stuff
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
diffusers-uncensored - Uncensored fork of diffusers
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
onnx - Open standard for machine learning interoperability
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
dalle-mini - DALL·E Mini - Generate images from a text prompt
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
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]
taming-transformers - Taming Transformers for High-Resolution Image Synthesis