Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/BeautifulArt_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/BeautifulArt_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/BeautifulArt_v1", 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
Download text_encoder/pytorch_model.bin from digiplay/BeautifulArt_v1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/digiplay/BeautifulArt_v1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://digiplay/BeautifulArt_v1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digiplay/BeautifulArt_v1/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d94a631df903c0015cb7aba39edee71e01eea1f58c76e03b8203b2e7e9b0448c
- Size of remote file:
- 492 MB
- SHA256:
- 829b9d9773eaa43cc13a38d093ffac1fee7725064a79a41a3ad0ccc459baaed9
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