metadata

license: apache-2.0
datasets:
  - yandex/alchemist
language:
  - en
base_model:
  - stabilityai/stable-diffusion-3.5-large
library_name: diffusers

Stable Diffusion 3.5 Large Alchemist 👨‍🔬

Stable Diffusion 3.5 Large Alchemist is finetuned version of Stable Diffusion 3.5 Large 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-3.5-large-alchemist", torch_dtype=torch.bfloat16)
pipe = pipe.to("cuda")
image = pipe(
    "a man standing under a tree",
    num_inference_steps=28,
    guidance_scale=3.5,
).images[0]
image.save("man.png")