Instructions to use Chat-Error/Tiny_random_pixel_art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chat-Error/Tiny_random_pixel_art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Chat-Error/Tiny_random_pixel_art", 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:
- 6acb653f3c05b8398d386c9e96027f0bde0a3e41095eb0278514608891324f49
- Size of remote file:
- 3.13 GB
- SHA256:
- a9dd06ce490f139af36e9eb77dd3758b4fd07a08a73d5a1abe5ff2591e2d388e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.