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: 294 Bytes
36ac0dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_class_name": "BagelPipeline",
"_diffusers_version": "0.34.0",
"bagel_model": [
"pipeline",
"Bagel"
],
"latent_patch_size": 2,
"tokenizer": [
"pipeline",
"Qwen2Tokenizer"
],
"vae": [
"pipeline",
"AutoEncoder"
],
"vit_max_num_patch_per_side": 70
}
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