Instructions to use hf-internal-testing/tiny-cosmos3-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-cosmos3-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-cosmos3-modular-pipe", torch_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
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 605 Bytes
93f2318 | 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 | {
"_class_name": "AutoencoderKLWan",
"_diffusers_version": "0.40.0.dev0",
"_name_or_path": "/tmp/cosmos3-tiny-modular-prototype-20260715",
"attn_scales": [],
"base_dim": 8,
"decoder_base_dim": 8,
"dim_mult": [
1,
1
],
"dropout": 0.0,
"in_channels": 3,
"is_residual": false,
"latents_mean": [
0.0,
0.0,
0.0,
0.0
],
"latents_std": [
1.0,
1.0,
1.0,
1.0
],
"num_res_blocks": 1,
"out_channels": 3,
"patch_size": null,
"scale_factor_spatial": 8,
"scale_factor_temporal": 4,
"temperal_downsample": [
false
],
"z_dim": 4
}
|