Instructions to use Snapmap/diffcheckstuffiused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Snapmap/diffcheckstuffiused with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Snapmap/diffcheckstuffiused", 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
File size: 405 Bytes
5f16a95 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_name_or_path": "ZhengPeng7/BiRefNet",
"architectures": [
"BiRefNet"
],
"auto_map": {
"AutoConfig": "BiRefNet_config.BiRefNetConfig",
"AutoModelForImageSegmentation": "birefnet.BiRefNet"
},
"custom_pipelines": {
"image-segmentation": {
"pt": [
"AutoModelForImageSegmentation"
],
"tf": [],
"type": "image"
}
},
"bb_pretrained": false
} |