stable-diffusion
By justinpinkney
material_stable_diffusion
Tileable Stable Diffusion - Cog model (by TomMoore515)
| stable-diffusion | material_stable_diffusion | |
|---|---|---|
| 17 | 3 | |
| 1,408 | 231 | |
| - | - | |
| 2.9 | 0.0 | |
| 4 months ago | over 1 year ago | |
| Jupyter Notebook | Python | |
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stable-diffusion
Posts with mentions or reviews of stable-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-16.
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Is it possible to merge VAEs?
Download this training project: git clone https://github.com/justinpinkney/stable-diffusion.git
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how can i install this Image mixer onto automatic1111's webui.?
looks like it's using the https://github.com/justinpinkney/stable-diffusion/blob/4ac995b6f663b74dfe65400285e193d4167d259c/scripts/gradio_image_mixer.py to do the bulk of the work meaning the core functionality is built into stable diffusion, seems the UI just isn't built to support it. Their ckpt is here too https://huggingface.co/lambdalabs/image-mixer/tree/main.
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Image Mixer CUDA Out of Memory
Any idea how to make Image Mixer work in this build? On RTX 3060 with 12Gb of memory I get the message:
- Ideas fo new feature for AI generation techniques
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AI Image Editing from Text! Imagic Explained
References: ►Read the full article: https://www.louisbouchard.ai/imagic/ ►Kawar, B., Zada, S., Lang, O., Tov, O., Chang, H., Dekel, T., Mosseri, I. and Irani, M., 2022. Imagic: Text-Based Real Image Editing with Diffusion Models. arXiv preprint arXiv:2210.09276. ► Use it with Stable Diffusion: https://github.com/justinpinkney/stable-diffusion/blob/main/notebooks/imagic.ipynb ►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/
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Imagic ( Google's Text-Based Image Editing ) implemented in Stable Diffusion
The notebook: https://github.com/justinpinkney/stable-diffusion/blob/main/notebooks/imagic.ipynb
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[D] DreamBooth Stable Diffusion training in 10 GB VRAM, using xformers, 8bit adam, gradient checkpointing and caching latents.
There's a script for the SD --> Diffusers here: https://github.com/justinpinkney/stable-diffusion/blob/main/scripts/convert_sd_to_diffusers.py
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[P] How to fine tune stable diffusion: how we made the text-to-pokemon model at Lambda
You can start with the github which contains the code: https://github.com/justinpinkney/stable-diffusion
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Pokemon Stable Diffusion : A fine tuned model of Stable Diffusion to only create Pokemon
Hmmm, I just double checked the hashes of my local file, what's on huggingface, and what you showed above and they all match. I'm not familiar with that repo, so maybe something weird is going on. I tested it using the original txt2img script in the stable diffusion repo:
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List of Stable Diffusion systems - Part 2
*PICK\* (Added Sep. 12, 2022) Web app Stable Diffusion Image Variations by lambdalabs. GitHub repo. Generates variations of an input image without use of a text prompt. Censored.
material_stable_diffusion
Posts with mentions or reviews of material_stable_diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-11.
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How to train a SD model to generate tiled images?
I have seen some work generateing tiled images using SD mode, such as `https://github.com/TomMoore515/material_stable_diffusion`.
- where is the noise function?
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List of Stable Diffusion systems - Part 2
(Added Sep. 7, 2022) Web app material_stable_diffusion by tommoore515. GitHub repo. "for generating tileable outputs".
What are some alternatives?
When comparing stable-diffusion and material_stable_diffusion you can also consider the following projects:
cog-stable-diffusion - Diffusers Stable Diffusion as a Cog model
stability-sdk - SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
merge-models - Merges two latent diffusion models at a user-defined ratio
sd-xy-studies - Examining parameter variation in Stable Diffusion.
CrossAttentionControl - Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
inpainter - A web GUI built with Next.js for inpainting with Stable Diffusion using the Replicate API.
make-a-video-pytorch - Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
authcompanion2 - An admin-friendly, User Management Server (with Passkeys & JWTs) - for seamless and secure integration of user authentication
VAE-BlessUp - A tool to easily modify a Stable Diffusion VAE
lambda-diffusers
stable-diffusion vs cog-stable-diffusion
material_stable_diffusion vs stability-sdk
stable-diffusion vs stability-sdk
material_stable_diffusion vs cog-stable-diffusion
stable-diffusion vs merge-models
material_stable_diffusion vs sd-xy-studies
stable-diffusion vs CrossAttentionControl
material_stable_diffusion vs inpainter
stable-diffusion vs make-a-video-pytorch
stable-diffusion vs authcompanion2
stable-diffusion vs VAE-BlessUp
stable-diffusion vs lambda-diffusers