Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/urangdiffusion-base-v1-4-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/urangdiffusion-base-v1-4-pretrained with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/urangdiffusion-base-v1-4-pretrained", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3343c98b9e3ef68178b35bdcf1bb6b2a47a2eec7adb3ca89050bfd81e9f9b06e
- Size of remote file:
- 1.39 GB
- SHA256:
- 6f528972ca0068463aeb0dbeb065ad2a6836619c080799579ffa865ed2167166
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