Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Vishnou/sd-laion-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vishnou/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("Vishnou/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:
- c912d4fae19efa65296b1bd01bc16f235edee9d0e78fb7a0ce9621d79ebb3f15
- Size of remote file:
- 997 kB
- SHA256:
- 8bf2cc54d4e48b30378edb5f7ef039fb31e340c46a4bf28cae32e15dd94d6130
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