Instructions to use circulus/Cosmos3-Super-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use circulus/Cosmos3-Super-bnb-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circulus/Cosmos3-Super-bnb-4bit", 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: 618 Bytes
c3c6589 | 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 | {
"_class_name": "Cosmos3OmniPipeline",
"_diffusers_version": "0.40.0.dev0",
"_name_or_path": "nvidia/Cosmos3-Super",
"default_use_system_prompt": true,
"enable_safety_checker": true,
"safety_checker": [
null,
null
],
"scheduler": [
"diffusers",
"UniPCMultistepScheduler"
],
"sound_tokenizer": [
"diffusers",
"Cosmos3AVAEAudioTokenizer"
],
"text_tokenizer": [
"transformers",
"Qwen2Tokenizer"
],
"transformer": [
"diffusers",
"Cosmos3OmniTransformer"
],
"use_native_flow_schedule": false,
"vae": [
"diffusers",
"AutoencoderKLWan"
]
}
|