Text-to-Image
Diffusers
Safetensors
English
AeroGenPipeline
aerogen
remote-sensing
object-detection
latent-diffusion
bounding-box
Instructions to use BiliSakura/AeroGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/AeroGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/AeroGen", 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 Settings
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "AeroGenPipeline", | |
| "_diffusers_version": "0.25.0", | |
| "condition_encoder": [ | |
| "pipeline", | |
| "AeroGenPipeline" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "DDIMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "pipeline", | |
| "AeroGenPipeline" | |
| ], | |
| "unet": [ | |
| "pipeline", | |
| "AeroGenPipeline" | |
| ], | |
| "vae": [ | |
| "pipeline", | |
| "AeroGenPipeline" | |
| ], | |
| "scale_factor": 0.18215 | |
| } | |