Instructions to use Bowser04/pixelart_text_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bowser04/pixelart_text_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bowser04/pixelart_text_diffusion", torch_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
- Xet hash:
- 97411ecc4ad1f9a871e5c9ebee4ee1e425c7ae115488bb7b1fd7685c14022b11
- Size of remote file:
- 438 MB
- SHA256:
- 8e47716a979def3ee4331621abb95a2a07619cf6428ca798c051201cbbc0ff89
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