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Introducing riffusion, it is the last commercial artificial intelligence oriented song generator player in the market and also one of the high-quality early players. when it was unveiled was touted as the stable diffusion for music. And it was also used in one of the earliest known fake song benchmark that came out from Mila lab. We are releasing 99,293 songs and those songs exquisite metadata alongside for fuelling state-of-art research in this field. We also request everyone to obey ourโฆ See the full description on the dataset page: https://huggingface.co/datasets/sleeping-ai/Riffusion-X1.
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memepottaboah/riffusion-PaulMcCartney dataset hosted on Hugging Face and contributed by the HF Datasets community
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Stable Diffusion Dataset
This is a set of about 80,000 prompts filtered and extracted from the image finder for Stable Diffusion: "Lexica.art". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare. If you want to test the model with a demo, you can go to: "spaces/Gustavosta/MagicPrompt-Stable-Diffusion". If you want to see the model, go to: "Gustavosta/MagicPrompt-Stable-Diffusion".
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Over 20,000 256x256 mel spectrograms of 5 second samples of music from my Spotify liked playlist. The code to convert from audio to spectrogram and vice versa can be found in https://github.com/teticio/audio-diffusion along with scripts to train and run inference using De-noising Diffusion Probabilistic Models. x_res = 1024 y_res = 1024 sample_rate = 44100 n_fft = 2048 hop_length = 512
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Stable Diffusion Dataset
This is a set of about 80,000 Image-Prompt pairs generated by stable-diffusion-v1-5. The Prompts come from dataset Stable-Diffusion-Prompts which filtered and extracted from the image finder for Stable Diffusion: "Lexica.art".
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DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users. The unprecedented scale and diversity of this human-actuated dataset provide exciting research opportunities in understanding the interplay between prompts and generative models, detecting deepfakes, and designing human-AI interaction tools to help users more easily use these models.
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Dataset Card for "stable-diffusion-prompts-uncensored"
Not SAFE for public - Definately Unfiltered
This dataset comes from prompts shared from images' metadata on Civitai. Not for the faint of heart. Thanks to Civitai.com for all the models, building a playground, allowing fine tuning of models, and generally being a good influence on model building and generation. The purpose of this dataset is to allow for analysis of prompts and feature analysis in prompts andโฆ See the full description on the dataset page: https://huggingface.co/datasets/jtatman/stable-diffusion-prompts-uncensored.
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Twitteroceanrahan/stable-diffusion-dataset-examples dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterdubm/stable-diffusion-xl-base-1.0-images dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterkugwzk/diffusion-data dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterbitmind/stable-diffusion-xl_training dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterTeddySing1/fast-stable-diffusion dataset hosted on Hugging Face and contributed by the HF Datasets community
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ChocoThink/stable-diffusion-v1-5 dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterChung2023/Stable-diffusion-photo dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterAzrael666/fast-stable-diffusion dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterdiffusion-cot/GenRef dataset hosted on Hugging Face and contributed by the HF Datasets community
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Drum Samples
Drum Samples used to train in tiny-audio-diffusion
Checkpoints:
Hihats: https://huggingface.co/crlandsc/tiny-audio-diffusion-hihats Kicks: https://huggingface.co/crlandsc/tiny-audio-diffusion-kicks Snares: https://huggingface.co/crlandsc/tiny-audio-diffusion-snares Percussion: https://huggingface.co/crlandsc/tiny-audio-diffusion-percussion
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TwitterStable Diffusion web UI
A web interface for Stable Diffusion, implemented using Gradio library.
Features
Detailed feature showcase with images:
Original txt2img and img2img modes One click install and run script (but you still must install python and git) Outpainting Inpainting Color Sketch Prompt Matrix Stable Diffusion Upscale Attention, specify parts of text that the model should pay more attention to a man in a ((tuxedo)) - will pay more attention to tuxedo a man inโฆ See the full description on the dataset page: https://huggingface.co/datasets/crystantine/GENERATIVE.
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Twitterjklyang/Kaggle-Stable-Diffusion dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterBruchstein/Stable-diffusion dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterAttribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
Introducing riffusion, it is the last commercial artificial intelligence oriented song generator player in the market and also one of the high-quality early players. when it was unveiled was touted as the stable diffusion for music. And it was also used in one of the earliest known fake song benchmark that came out from Mila lab. We are releasing 99,293 songs and those songs exquisite metadata alongside for fuelling state-of-art research in this field. We also request everyone to obey ourโฆ See the full description on the dataset page: https://huggingface.co/datasets/sleeping-ai/Riffusion-X1.