Instructions to use Boogu/Boogu-Image-0.1-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Base", 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: 221 Bytes
a1c0f0f | 1 2 3 4 5 6 7 8 9 10 | {
"_class_name": "FlowMatchEulerDiscreteScheduler",
"_diffusers_version": "0.33.1",
"do_shift": true,
"dynamic_time_shift": false,
"time_shift_version": "v1",
"seq_len": 4096,
"num_train_timesteps": 1000
}
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