Instructions to use Yntec/Synthwave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Synthwave 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/Synthwave", 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
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/Synthwave", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Synthwave
Safetensors and Diffusers version of this model for the Inference API.
Sample and prompt:
Cartoon Pretty CUTE Girl, DETAILED CHIBI EYES, beautiful detailed legs, pajamas, gorgeous detailed hair, Magazine ad, iconic, 1949, sharp focus. visible brushstrokes βBy KlaysMoji and artgerm and leyendecker and Dave Rapoza and terry moore and josephine wall.
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