Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Emoticons
Emojis
Smileys
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Emoticons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Emoticons 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/Emoticons", 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:
- 3985c5c4ddb75e475b269c4843b5ca914493d5428a178865b096d8b6c0e63f16
- Size of remote file:
- 167 MB
- SHA256:
- 0db6ade075338a89e21ef8550a1ea986582b5cf98725316a37ea182aa08b9a72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.