Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Classic Anime
90s
Retro
Cartoons
DucHaiten
Patchmonk
Clumsy_Trainer
OneRing
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/MostClassical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/MostClassical 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/MostClassical", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 73e96936e78a8f91fb32c42efeb6c5296829237a18789ffb3d295e20eb70ea2d
- Size of remote file:
- 2.64 GB
- SHA256:
- 2b2a20d9e5d8cf4053a6743aacc5d9135c652f54f4ec9c03aba5e0f2c3e6d3f8
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