Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Midjourney
NijiV5
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Cute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Cute 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/Cute", 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:
- 6e9eb84395c2822e70b147ca2ea8d6f4f128d50999d077dc3f629df3fb6c76c8
- Size of remote file:
- 492 MB
- SHA256:
- a18d7981d169144c07dcba2ae446437349e96928a0074345df7adb471c977cee
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