Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Nostalgic
90s
Retro
Vintage
cometshooting
Clumsy_Trainer
OneRing
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NostalgicNostalgia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NostalgicNostalgia 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/NostalgicNostalgia", 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:
- dfcae6a31124b3c89bca26b9b3cfc9f754e758024300c8cbd8e5254643dfa30e
- Size of remote file:
- 3.18 GB
- SHA256:
- b69a7371335e130f4c690845935fe8951394197174ba7d1bd2bf17b856203aea
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