Text-to-Image
Diffusers
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/strongly-styled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/strongly-styled 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/strongly-styled", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 256440fab5ea5ef4a30aa09621c9c0042b0ebe846fad0efb2b07d9071c425a3e
- Size of remote file:
- 1.39 GB
- SHA256:
- f8d8f8c26d259cba771fba29b28cfeb3212b906a6c8141ccee938e339e8439c6
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