Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use ModelsLab/sdvn5-3dcutewave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/sdvn5-3dcutewave with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/sdvn5-3dcutewave", torch_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:
- cd71b66e6fd248a2a54c8779060711c2431f76dcacfefc4cfd2f1c0725c18422
- Size of remote file:
- 246 MB
- SHA256:
- 67bd33daa1dbbcf9a16360ac8ce0ac9685c20eef05c0fcff7e95877673f1c14e
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