Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use liamhvn/stylizedpixel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liamhvn/stylizedpixel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("liamhvn/stylizedpixel", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 5a1d7303deb8d5279457d6915eab2fffc82358ff6c78b3b8b355b734f64b3af0
- Size of remote file:
- 167 MB
- SHA256:
- 79d051410ce59a337cb358d79a3e81b9e0c691c34fcc7625ecfebf6a5db233a4
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