datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sdxl-1.0
Dataset Card for "sdxl-1.0"
Dataset was generated using the code below:
import torch
from datasets import Dataset, Features
from datasets import Image as ImageFeature
from datasets import Value, load_dataset
from diffusers import DDIMScheduler, DiffusionPipeline
import PIL
def main():
print("Loading dataset...")
parti_prompts = load_dataset("nateraw/parti-prompts", split="train")
print("Loading pipeline...")
ckpt_id = "stabilityai/stable-diffusion-xl-base-1.0"… See the full description on the dataset page: https://huggingface.co/datasets/diffusers-parti-prompts/sdxl-1.0.sdxl-0.9
Dataset Card for "sdxl-0.9"
Dataset was generated using the code below:
import torch
from datasets import Dataset, Features
from datasets import Image as ImageFeature
from datasets import Value, load_dataset
from diffusers import DDIMScheduler, DiffusionPipeline
import PIL
def main():
print("Loading dataset...")
parti_prompts = load_dataset("nateraw/parti-prompts", split="train")
print("Loading pipeline...")
ckpt_id = "stabilityai/stable-diffusion-xl-base-0.9"… See the full description on the dataset page: https://huggingface.co/datasets/diffusers-parti-prompts/sdxl-0.9.sdxl-1.0-refiner
Dataset Card for "sdxl-1.0-refiner"
Dataset was generated using the code below:
import torch
from datasets import Dataset, Features
from datasets import Image as ImageFeature
from datasets import Value, load_dataset
from diffusers import DDIMScheduler, DiffusionPipeline
import PIL
def main():
print("Loading dataset...")
parti_prompts = load_dataset("nateraw/parti-prompts", split="train")
print("Loading pipeline...")
ckpt_id =… See the full description on the dataset page: https://huggingface.co/datasets/diffusers-parti-prompts/sdxl-1.0-refiner.sdxl-0.9-refiner
Dataset Card for "sdxl-0.9-refiner"
Dataset was generated using the code below:
import torch
from datasets import Dataset, Features
from datasets import Image as ImageFeature
from datasets import Value, load_dataset
from diffusers import DDIMScheduler, DiffusionPipeline
import PIL
def main():
print("Loading dataset...")
parti_prompts = load_dataset("nateraw/parti-prompts", split="train")
print("Loading pipeline...")
ckpt_id =… See the full description on the dataset page: https://huggingface.co/datasets/diffusers-parti-prompts/sdxl-0.9-refiner.