Instructions to use Intel/Cosmos3-Super-int4-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/Cosmos3-Super-int4-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/Cosmos3-Super-int4-AutoRound", 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
File size: 343 Bytes
8602f3f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"autoround_version": "0.14.0",
"batch_size": 1,
"bits": 4,
"block_name_to_quantize": [
"language_model.layers",
"gen_layers",
"blocks",
"deepstack_merger_list"
],
"data_type": "int",
"group_size": 128,
"nsamples": 16,
"packing_format": "auto_round:auto_gptq",
"quant_method": "auto-round",
"sym": true
} |