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
- Draw Things
- DiffusionBee
- Xet hash:
- 574242b201601df98b79a574c23d7b0ca5f40ea47215906b84f1885d0eafd6cd
- Size of remote file:
- 492 MB
- SHA256:
- a7535953c2dccd9163dc5d6d49e468884e1001816f4cc9704d74f4ef118d8fff
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