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:
- 942b33cc2e816e1da026e1ad85923ecc43b3cc06125c6f2bc046134eebdea4fc
- Size of remote file:
- 3.44 GB
- SHA256:
- e1eca94945cc0e67fab82aa234925b1d1314a7359cb4a90d27525f1bd57ac27b
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