datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
diffusers-imagescommunity-pipelines-mirror
Community Pipeline Examples
For more information about community pipelines, please have a look at this issue.
Community pipeline examples consist pipelines that have been added by the community.
Please have a look at the following tables to get an overview of all community examples. Click on the Code Example to get a copy-and-paste ready code example that you can try out.
If a community pipeline doesn't work as expected, please open an issue and ping the author on it.
Please… See the full description on the dataset page: https://huggingface.co/datasets/diffusers/community-pipelines-mirror.docs-imagesdiffusers-images-docsdog-examplediffusers-pr
Diffusers PR Dataset
Normalized snapshots of issues, pull requests, comments, reviews, and linkage data from huggingface/diffusers.
Files:
issues.parquet
pull_requests.parquet
comments.parquet
issue_comments.parquet (derived view of issue discussion comments)
pr_comments.parquet (derived view of pull request discussion comments)
reviews.parquet
pr_files.parquet
pr_diffs.parquet
review_comments.parquet
links.parquet
events.parquet
new_contributors.parquet… See the full description on the dataset page: https://huggingface.co/datasets/evalstate/diffusers-pr.diffusers-qa-chatbot-artifactsdiffusers-metadatatest-arraysdiffusers-examplespokemon-gpt4-captions
Dataset Card for "pokemon-gpt4-captions"
This dataset is just lambdalabs/pokemon-blip-captions but the captions come from GPT-4 (Turbo).
Code used to generate the captions:
import base64
from io import BytesIO
import requests
from PIL import Image
def encode_image(image):
buffered = BytesIO()
image.save(buffered, format="JPEG")
img_str = base64.b64encode(buffered.getvalue())
returnimg_str.decode("utf-8")
def create_payload(image_string):
payload = {… See the full description on the dataset page: https://huggingface.co/datasets/diffusers/pokemon-gpt4-captions.instructpix2pix-clip-filtered-upscaleddiffusers-testingdiffusers-blackwell-quantsOutput artifacts for https://github.com/sayakpaul/diffusers-blackwell-quants
modular-diffusers-blogdiffusers_readme_imagesdiffusers-dependents
diffusers metrics
This dataset contains metrics about the huggingface/diffusers package.
Number of repositories in the dataset: 160
Number of packages in the dataset: 2
Package dependents
This contains the data available in the used-by
tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
Package
Repository
There are 0 packages that have more than 1000 stars.
There are 3 repositories… See the full description on the dataset page: https://huggingface.co/datasets/open-source-metrics/diffusers-dependents.mvp-certificatescat_toy_exampleShotDEAD-v0
ShotDEAD-v0
Shot Directors Environment Actors Dataset
This dataset covers environment and contains still frames from a variety of films. The tags describe visual attributes of each image, including color, lighting, and composition.
Dataset Structure
Example Tags
Each image is labeled with the following categories:
COLOR
Indicates the dominant color palette in the image:
Mixed
Saturated
Desaturated
Warm
Red
Blue
Cyan
LIGHTING
Describes… See the full description on the dataset page: https://huggingface.co/datasets/diffusers/ShotDEAD-v0.torch-profiling-trace-diffuserseye_rolling
Eye Rolling Image-video dataset
containing pairs of face images with corresponding video of the person rolling their eyes
images were downloaded from Unsplash
videos were created using LivePortrait
benchmarks
Welcome to 🤗 Diffusers Benchmarks!
This is dataset where we keep track of the inference latency and memory information of the core models in the diffusers library.
Currently, the core models are:
Flux
Wan
LTX
SDXL
Note that we will continue to extend this list based on their usage.
You can analyze the results in this demo.
[!IMPORTANT]
Instead of benchmarking the entire diffusion pipelines, we only benchmark the forward passes
of the diffusion networks under different settings… See the full description on the dataset page: https://huggingface.co/datasets/diffusers/benchmarks.torchao-diffuserstuxemonTuxemon Dataset
This dataset contains images of mosnters from The Tuxemon Project - an open source effort for a monster catching game.
These image-caption pairs can be used for text-to-image tuning & benchmarking.
All images in this dataset were downloaded from https://wiki.tuxemon.org/Category:Monster
Some images were upscaled using SDx4 upscaler & HiDiffusion
Captions generated with
BLIP-large (some were manually modified)
GPT-4 Turbo
[!TIP]
One can use the mix of captions provided in the… See the full description on the dataset page: https://huggingface.co/datasets/diffusers/tuxemon.test-slicesdiffusers-gallery-dataImage2PositionColor_v3_diffusersdiffusers-community-pipelines-mirrorexample-dataset
ORB Transformation Applied on diffusiondb Dataset
This dataset consists of images, captions and images that are transformed to extract features using ORB transform.
You can find the original dataset here.
An example sample is below:
Caption: "spider - man, cinematic, photography "
Image:
Transformation: