Instructions to use Pie31415/dm_anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pie31415/dm_anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pie31415/dm_anime", 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: 289 Bytes
fd56a51 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_class_name": "DDPMScheduler",
"_diffusers_version": "0.12.1",
"beta_end": 0.02,
"beta_schedule": "linear",
"beta_start": 0.0001,
"clip_sample": true,
"num_train_timesteps": 1000,
"prediction_type": "epsilon",
"trained_betas": null,
"variance_type": "fixed_small"
}
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