notebooks
Notebooks using the Hugging Face libraries 🤗 (by huggingface)
stable-diffusion
k_diffusion wrapper included for k_lms sampling. fixed for notebook. (by DamascusGit)
| notebooks | stable-diffusion | |
|---|---|---|
| 17 | 4 | |
| 3,293 | 20 | |
| 2.7% | - | |
| 8.4 | 0.0 | |
| 4 days ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
notebooks
Posts with mentions or reviews of notebooks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-17.
- Training multiple models like ResNet50 or ViT on the same dataset [P]
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Sagemaker Model deployment and Integration
đź““ Open the notebook for an example of how to run a batch transform job for inference.
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Your own Stable Diffusion endpoint with AWS SageMaker
In order to overwrite it, the package readme has some general information about it, and also there is an example in this jupyter notebook. We are doing what is necessary via the files inside sagemaker/code, which has the inference code following SageMaker requirements, and a requirements.txt, that has the necessary dependencies that will be installed when the endpoint gets created
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Is there a huggingface model that does free response QA?
You still haven’t explained your use-case for the model. You can look up “Open Domain QA” models. There are a lot of them, but they’re often restricted in how well they generalize and benefit from fine tuning. E.g., https://github.com/huggingface/notebooks/blob/main/longform-qa/Long_Form_Question_Answering_with_ELI5_and_Wikipedia.ipynb
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List of Stable Diffusion systems - Part 3
(Updated Aug. 27, 2022) Colab notebook Stable Diffusion with diffusers by huggingface. GitHub repo. Video tutorial. Official Colab notebook. txt2img. Uses HuggingFace diffusers repo.
- anyone having issues with the textual inversion colab?
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Training textual inversion of Stable Diffusion on your own dataset
Looks like they updated the notebook 15 minutes ago. Hopefully it works now.
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Ask HN: What kind of data do I need to build a language model?
Basically, you can then do similar things using HuggingFace, as indeed many have (you can explore the models in their hub)[2]
[1] https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQju...
[2] https://github.com/huggingface/notebooks/blob/main/examples/...
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[D] NLP has HuggingFace, what does Computer Vision have?
image classification: ViT, DeiT, BEiT, Swin Transformer, PoolFormer, ResNet, RegNet, ConvNeXT, Perceiver, ImageGPT, VAN. Check out the official example scripts, example notebooks.
- Need help in extracting a binary label from a text corpus
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 2022-09-20.
-
List of Stable Diffusion systems - Part 3
*PICK\* (Updated Sep 5., 2022) Colab notebook NSFW Disabled: NOP's Stable Diffusion Colab by david. txt2img. img2img. Inpainting. Uses HuggingFace diffusers repo or DamascusGit repo.
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Sampler Comparison (incl. K-Diffusion)
Supposedly yes using this repo.
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[June Weights] Steampunk Neon Tech Gigachad Gundam Head
Parameters (using k_lms sampler): --ddim_steps 100 \ --H 768 \ --W 512 \ --scale 15 \ --n_iter 50 \ --n_samples 1 \ --seed $SEED \
What are some alternatives?
When comparing notebooks and stable-diffusion you can also consider the following projects:
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
k-diffusion - Karras et al. (2022) diffusion models for PyTorch
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
ai-notebooks - Various ai notebooks
easydiffusion - Easy Diffusion is an advanced Stable Diffusion Notebook with a feature rich image processing suite.
stable-diffusion-colab - Adapdet for google colab
HidamariDiffusionColab - colab for stable diffusion
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
stable-diffusion
notebooks vs pytorch-image-models
stable-diffusion vs k-diffusion
notebooks vs Transformers-Tutorials
stable-diffusion vs ai-notebooks
notebooks vs easydiffusion
stable-diffusion vs easydiffusion
notebooks vs stable-diffusion-colab
stable-diffusion vs HidamariDiffusionColab
notebooks vs HidamariDiffusionColab
stable-diffusion vs diffusers
notebooks vs diffusers
stable-diffusion vs stable-diffusion