Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
anime
style
checkpoint
jinofcoolnes
Instructions to use Yntec/samdoesartsUlt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/samdoesartsUlt 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/samdoesartsUlt", 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 unet/diffusion_pytorch_model.bin from Yntec/samdoesartsUlt: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/samdoesartsUlt/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/samdoesartsUlt@refs/pr/2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/samdoesartsUlt/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 8b478a98b2eb921c02e7ecdb750091c61771592ea58840fc43f9e5539c298377
- Size of remote file:
- 3.44 GB
- SHA256:
- 4c266af0eb1aa863f4eabac756bff63bcb9bf9d5019dcb55cd7ab0c487667f98
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