Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/colossus-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/colossus-project 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/colossus-project", 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:
- 473513751bc82adf3f09b2f48986f7d8b990c2a63220ac5492a07cf0b0975fec
- Size of remote file:
- 1.39 GB
- SHA256:
- a79506689d59fdd725de9145dcd174cc47ba7d8ef50f90b484663154dfaba988
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