Instructions to use yandex/stable-diffusion-xl-base-1.0-alchemist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yandex/stable-diffusion-xl-base-1.0-alchemist with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yandex/stable-diffusion-xl-base-1.0-alchemist", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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[Stable Diffusion XL Alchemist](https://huggingface.co/yandex/stable-diffusion-3.5-large-alchemist) is finetuned version of [Stable Diffusion XL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) on [Alchemist](https://huggingface.co/datasets/yandex/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
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# Stable Diffusion XL Alchemist 👨🔬
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[Stable Diffusion XL Alchemist](https://huggingface.co/yandex/stable-diffusion-3.5-large-alchemist) is finetuned version of [Stable Diffusion XL 1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) on [Alchemist](https://huggingface.co/datasets/yandex/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
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