Instructions to use OsGo/ERNIE-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OsGo/ERNIE-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OsGo/ERNIE-Image", 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
Download pe/generation_config.json from OsGo/ERNIE-Image: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
-
https://huggingface.co/OsGo/ERNIE-Image/resolve/main/pe/generation_config.json
- Command line
-
hf download hf://OsGo/ERNIE-Image/pe/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/OsGo/ERNIE-Image/resolve/main/pe/generation_config.json
153 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 11, | |
| "transformers_version": "5.3.0", | |
| "use_cache": true | |
| } | |