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:
- 4d315eba4547ef1a5591e1e23f5c9f9c43086ff9cd0387ad9bd4f32ab8d45e15
- Size of remote file:
- 890 kB
- SHA256:
- 5cc9b1d1e1f208753e99289953e6381c6d1db8cc469ab945c86edb744439e421
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