Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
PotatCat
darkstorm2150
anime
art
artistic
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/PotaytoPotahto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/PotaytoPotahto 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/PotaytoPotahto", 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 Yntec/PotaytoPotahto: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/PotaytoPotahto/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/PotaytoPotahto/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/PotaytoPotahto/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 53286e3def43d3d1751f947d0ef092d2b9833123d1cd4b5dd277c3518c723960
- Size of remote file:
- 492 MB
- SHA256:
- fca76f0ff8392609e50993b0d40b1111a74a2b7a5c853503b184df87e5594d5b
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