Instructions to use nvidia/Cosmos3-Super-Text2Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use nvidia/Cosmos3-Super-Text2Image with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
How to use nvidia/Cosmos3-Super-Text2Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Cosmos3-Super-Text2Image", 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: 1,310 Bytes
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"model_type": "autoencoder_v2",
"sampling_rate": 48000,
"stereo": true,
"use_wav_as_input": true,
"normalize_volume": true,
"hop_size": 1920,
"input_channels": 1,
"enc_type": "spec_convnext",
"enc_dim": 192,
"enc_intermediate_dim": 768,
"enc_num_layers": 12,
"enc_num_blocks": 2,
"enc_n_fft": 64,
"enc_hop_length": 16,
"enc_latent_dim": 128,
"enc_c_mults": [
1,
2,
4
],
"enc_strides": [
4,
5,
6
],
"enc_identity_init": false,
"enc_use_snake": true,
"dec_type": "oobleck",
"dec_dim": 320,
"dec_c_mults": [
1,
2,
4,
8,
16
],
"dec_strides": [
2,
4,
5,
6,
8
],
"dec_use_snake": true,
"dec_final_tanh": false,
"dec_out_channels": 2,
"dec_anti_aliasing": false,
"dec_use_nearest_upsample": false,
"dec_use_tanh_at_final": false,
"bottleneck_type": "vae",
"bottleneck": {
"type": "vae"
},
"activation": "snakebeta",
"snake_logscale": true,
"anti_aliasing": false,
"use_cuda_kernel": false,
"causal": false,
"padding_mode": "zeros",
"vocoder_input_dim": 64,
"latent_mean": null,
"latent_std": null
}
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