Alchemist
Collection
π Dataset and π checkpoints for paper π "Alchemist: Turning Public Text-to-Image Data into Generative Gold"
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Stable Diffusion XL Alchemist is finetuned version of Stable Diffusion XL 1.0 on Alchemist dataset, proposed in the research paper "Alchemist: Turning Public Text-to-Image Data into Generative Gold". Model generates images with improved aesthetics and complexity. Find more details about dataset and training details in the paer
Upgrade to the latest version of the 𧨠diffusers library
pip install -U diffusers
and then you can run
import torch
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("yandex/stable-diffusion-xl-base-1.0-alchemist", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
pipe = pipe.to("cuda")
image = pipe(
"a man standing under a tree",
num_inference_steps=50,
guidance_scale=5.0,
).images[0]
image.save("man.png")
Base model
stabilityai/stable-diffusion-xl-base-1.0