Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use ikozlov/sd-laion-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ikozlov/sd-laion-art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ikozlov/sd-laion-art", 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:
- 9c8b61fde39af4b6ef57f7e104d226f38e68d4cebf502c1ac74dcaab2a5edb29
- Size of remote file:
- 1.09 MB
- SHA256:
- b43d96bd0fdbbd07ac0ff8e035b5ab658d9e75e76ad979837db68bae1d89b45c
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