Instructions to use hf-internal-testing/tiny-minimax-h3-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-minimax-h3-modular-pipe 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-minimax-h3-modular-pipe", 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: 684 Bytes
f050e61 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | {
"_class_name": "AutoencoderKLMiniMaxH3Audio",
"_diffusers_version": "0.40.0.dev0",
"decoder_dim": 16,
"decoder_kernel_sizes": [
4,
4
],
"decoder_rates": [
2,
2
],
"encoder_dim": 4,
"encoder_rates": [
2,
2
],
"latent_channels": 8,
"latent_dim": 32,
"latents_mean": [
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0
],
"latents_std": [
1.0,
1.0,
1.0,
1.0,
1.0,
1.0,
1.0,
1.0
],
"num_attention_heads": 2,
"resblock_dilation_sizes": [
[
1,
3
],
[
1,
3
]
],
"resblock_kernel_sizes": [
3,
7
],
"sampling_rate": 160
}
|