Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
anime
Simple prompts
Things
stable-diffusion
stable-diffusion-diffusers
PromptSharingSamaritan
jinofcoolnes
Instructions to use Yntec/IsThisArt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/IsThisArt 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/IsThisArt", 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
- Xet hash:
- cd60bd64bf0e55c47c0cf057f19fea3cc75189a0b9e6975e5e22dcdcbe2b970b
- Size of remote file:
- 335 MB
- SHA256:
- 8ab12afe56b4419d7ac1ddbd4bff7816ec2d51173ef68bc16be25be9b72bdde9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.