Diffusers
Safetensors
English
Chinese
human-animation
talking-head
video-generation
nf4
quantized
echomimic
Instructions to use siyah1/EchoMimicV3-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siyah1/EchoMimicV3-NF4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("siyah1/EchoMimicV3-NF4", 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
| { | |
| "quant_type": "nf4", | |
| "load_in_4bit": true, | |
| "bnb_4bit_quant_type": "nf4", | |
| "bnb_4bit_use_double_quant": true, | |
| "bnb_4bit_compute_dtype": "float16", | |
| "quantized_by": "bitsandbytes", | |
| "base_model": "BadToBest/EchoMimicV3", | |
| "quantization_date": "2025" | |
| } |