Instructions to use hf-internal-testing/tiny-AceStepPipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-AceStepPipeline with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-AceStepPipeline", 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: 298 Bytes
29f2820 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"_class_name": "AutoencoderOobleck",
"_diffusers_version": "0.39.0.dev0",
"audio_channels": 2,
"channel_multiples": [
2,
4
],
"decoder_channels": 3,
"decoder_input_channels": 8,
"downsampling_ratios": [
1,
2
],
"encoder_hidden_size": 6,
"sampling_rate": 4
}
|