Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
90s
Retro
Vintage
Children Book
Kids Illustrations
Children
Book Illustrations
3D
Pixar
Clumsy_Trainer
OneRing
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NostalgicLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NostalgicLife 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/NostalgicLife", 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:
- e750447af987f1d10a410bd653ae14b50b09f0babe99a31ba5ddf4e2cef14152
- Size of remote file:
- 3.5 GB
- SHA256:
- aad15926d9a0554f7fa75f42679118fbc78a8cdb64387332789c65ae720b40f3
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