Instructions to use AEmotionStudio/kiwi-edit-reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/kiwi-edit-reference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/kiwi-edit-reference", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
File size: 376 Bytes
7a50439 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "WanTransformer3DModel",
"patch_size": [
1,
2,
2
],
"in_channels": 48,
"out_channels": 48,
"num_attention_heads": 24,
"attention_head_dim": 128,
"text_dim": 4096,
"freq_dim": 256,
"ffn_dim": 14336,
"num_layers": 30,
"cross_attn_norm": true,
"qk_norm": "rms_norm_across_heads",
"eps": 1e-06,
"rope_max_seq_len": 1024
} |