Dreambooth-Regularization
All the regs (by mashonoid)
huggingface_hub
The official Python client for the Huggingface Hub. (by huggingface)
| Dreambooth-Regularization | huggingface_hub | |
|---|---|---|
| 3 | 104 | |
| 2 | 1,748 | |
| - | 4.2% | |
| 10.0 | 9.6 | |
| over 1 year ago | 6 days ago | |
| Python | ||
| - | Apache License 2.0 |
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.
Dreambooth-Regularization
Posts with mentions or reviews of Dreambooth-Regularization.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-07.
- Comic Diffusion V2. This is a culmination of everything worked towards so far. Trained on 6 styles at the same time, mix and match any number of them to create multiple different unique and consistent styles.
- 2D Illustration Styles are scarce on Stable Diffusion so i created a dreambooth model inspired by Hollie Mengert's work
- Hello, i saw that you can train dreambooth for a style, I tried taring dreambooth on vast.ai for a children book illustration style but I got pretty awful result, any ideas what went wrong.
huggingface_hub
Posts with mentions or reviews of huggingface_hub.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-20.
-
OpenAI's employees were given two explanations for why Sam Altman was fired
Something to think about:
https://github.com/huggingface/huggingface_hub
- Thoughts on a "Text Generation CivitAI"
-
Civitai alternatives.
Yes! We have a well documented Python library (https://github.com/huggingface/huggingface_hub) and public endpoints (https://huggingface.co/docs/hub/api#endpoints-table) you can use to retrieve information about the models and potentially build UIs with specific use cases in mind
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Fox Fairy @ Diffusion Forest: Unreal Engine + Stable Diffusion
i think if you search for pixel art here there are some models worth checking out: https://huggingface.co/
- ASK HN: AI is really exciting but where do I start?
- j'ai entraîné une IA à générer Éric Duhaime en clown !
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[Guide] DreamBooth Training with ShivamShrirao's Repo on Windows Locally
I received another error saying OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like ./vae is not the path to a directory containing a file named diffusion_pytorch_model.bin
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Training a Deep Learning Language Model for Latin text Generation
I plan to release it on https://huggingface.co/, where all this cool AI stuff is available for free for everyone that wishes to try it.
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Image Upscaling Models Compared (General, Photo and Faces)
For this I used mainly the chainner application with models from here but I also used the google colab automatic1111 stable diffusion webui (for example for Lanczos) and also spaces fromhuggingface like this one or then from the replicate.com website super resolution collection.
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2D Illustration Styles are scarce on Stable Diffusion so i created a dreambooth model inspired by Hollie Mengert's work
you will now need to create a huggingface account ( https://huggingface.co/) if you haven't already. When you have, go here and accept the terms, https://huggingface.co/runwayml/stable-diffusion-v1-5. When you have done both, click on your profile icon and go to settings. Click access tokens and then create token, name it whatever you want, select "write". When you are finished with all this, then you can run the next cell which is the hugging face cell. It will ask for a token, you copy and paste what you just created.
What are some alternatives?
When comparing Dreambooth-Regularization and huggingface_hub you can also consider the following projects:
Stable-Diffusion-Regularization-Images - For use with fine-tuning, especially the current implementation of "Dreambooth".
civitai - A repository of models, textual inversions, and more
SD-Regularization-Images-Style-Dreambooth
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (tweaks focused on training faces)
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
mammography_metarepository - Meta-repository of screening mammography classifiers
KoboldAI-Client
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
psaw - Python Pushshift.io API Wrapper (for comment/submission search)
scikit-learn - scikit-learn: machine learning in Python
Dreambooth-Regularization vs Stable-Diffusion-Regularization-Images
huggingface_hub vs civitai
Dreambooth-Regularization vs SD-Regularization-Images-Style-Dreambooth
huggingface_hub vs transformers
Dreambooth-Regularization vs Dreambooth-Stable-Diffusion
huggingface_hub vs spaCy
huggingface_hub vs mammography_metarepository
huggingface_hub vs KoboldAI-Client
huggingface_hub vs Pytorch
huggingface_hub vs seldon-core
huggingface_hub vs psaw
huggingface_hub vs scikit-learn