Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Nostalgic
90s
Retro
Vintage
cometshooting
Clumsy_Trainer
OneRing
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NostalgiaRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NostalgiaRemix 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/NostalgiaRemix", 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:
- 9e28e53ed5ca6ecb18333afd1dceb280aafceef38fd052dafca0b7e99f7e4898
- Size of remote file:
- 335 MB
- SHA256:
- 6c32c08b162965c1c48f2b6171f868e63f4e5afc14c15ec2be827b786c2c43b2
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