Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/architecture-tuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/architecture-tuned-model 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/architecture-tuned-model", 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:
- 7f3fe4b05c2541b31d80df400bc7f89a3deb9915f8f5cd4241ef24cfdab67b74
- Size of remote file:
- 492 MB
- SHA256:
- a9b305efca5fe808d52d5e5346fe0d9b6735dc8f153c4ba62ecec34564fd65e8
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