CoolFace
18 results

sdxl-diffusers

diffusers-parti-prompts /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.image1K<n<10K3 likes45 downloads3y agoHugging Facediffusers-parti-prompts /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.image1K<n<10K1 likes26 downloads3y agoHugging Facediffusers-parti-prompts /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.image1K<n<10K0 likes18 downloads3y agoHugging Facediffusers-parti-prompts /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.image1K<n<10K0 likes17 downloads3y agoHugging Face