metadata
license: apache-2.0
datasets:
- yandex/alchemist
language:
- en
base_model:
- stable-diffusion-v1-5/stable-diffusion-v1-5
library_name: diffusers
Stable Diffusion 1.5 Alchemist is finetuned version of Stable Diffusion 1.5 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
Using with Diffusers
Upgrade to the latest version of the 🧨 diffusers library
pip install -U diffusers
and then you can run
import torch
from diffusers import StableDiffusion3Pipeline
pipe = StableDiffusion3Pipeline.from_pretrained("yandex/stable-diffusion-v1-5-alchemist", torch_dtype=torch.float16)
pipe = pipe.to("cuda")
image = pipe(
"A capybara holding a sign that reads Hello World",
num_inference_steps=40,
guidance_scale=4.5,
).images[0]
image.save("capybara.png")