Instructions to use JiaxinGe/Diffusers-BAGEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JiaxinGe/Diffusers-BAGEL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JiaxinGe/Diffusers-BAGEL", 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: 299 Bytes
36ac0dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "AutoEncoder",
"_diffusers_version": "0.34.0",
"ch": 128,
"ch_mult": [
1,
2,
4,
4
],
"downsample": 8,
"in_channels": 3,
"num_res_blocks": 2,
"out_ch": 3,
"resolution": 256,
"scale_factor": 0.3611,
"shift_factor": 0.1159,
"z_channels": 16
}
|