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 👨‍🔬

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 DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("yandex/stable-diffusion-v1-5-alchemist", torch_dtype=torch.float16)
pipe = pipe.to("cuda")
image = pipe(
    "a man standing under a tree",
    num_inference_steps=50,
    guidance_scale=7.5,
).images[0]
image.save("man.png")