Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Chibi
Adorable
Lasorco
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/lamettaNightly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/lamettaNightly 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/lamettaNightly", 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:
- d460fb841332f71fffa1fbfc47e34af3c2b3ec6254bee3f1428d0a650a761ac0
- Size of remote file:
- 335 MB
- SHA256:
- 82bde6900e57f4f72fd89b08ac82c0e84cffeba25f6e3d40f77d0500dcdabc5b
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