Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Cartoon
Zovya
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Classic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Classic 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/Classic", 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:
- 3193ad76ed30aeafa307275e489fd6142f137d39d600106f52ddade4b630b116
- Size of remote file:
- 4.27 GB
- SHA256:
- f3826fc1cea4cc352896a3d47937a5c1ce21dbd06277d05b118ffe0dfee83a99
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