Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/wojak-stable-diffusi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/wojak-stable-diffusi 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/wojak-stable-diffusi", 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:
- fd207f6f0f46f4b65d08d1575153a8bab8ec83dd52f9a00b9eba2df9d9128308
- Size of remote file:
- 3.46 GB
- SHA256:
- 7c138defdb9a79eeb9b0f9906aacf623ede56cf4ddcc4bde9193fb06bf00a5eb
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