Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
anime
style
3D
stable-diffusion
stable-diffusion-diffusers
jinofcoolnes
PromptSharingSamaritan
Instructions to use Yntec/SamaritanDoesArt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/SamaritanDoesArt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/SamaritanDoesArt", 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 vae/diffusion_pytorch_model.bin from Yntec/SamaritanDoesArt: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/SamaritanDoesArt/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/SamaritanDoesArt/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/SamaritanDoesArt/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- f540ffc3a44070ec0cb035bafd839cf228659d287bdcd3754d7a125237dd46b9
- Size of remote file:
- 335 MB
- SHA256:
- 171bc68795e9a94dd11899fd9b9eba8eea5cd1bd7c912a27c0821bb177684e9f
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