Instructions to use Digikore/SkyReels-V3-R2V-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Digikore/SkyReels-V3-R2V-14B 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("Digikore/SkyReels-V3-R2V-14B", 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: 548 Bytes
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"_class_name": "SkyReelsC1WanI2v3DModel",
"_diffusers_version": "0.34.0",
"_name_or_path": "/ai-video-nas-sh-b-2/yikun.dou/model/skyreel_A2_1000step_v0820",
"added_kv_proj_dim": null,
"attention_head_dim": 128,
"cross_attn_norm": true,
"eps": 1e-06,
"ffn_dim": 13824,
"freq_dim": 256,
"image_dim": null,
"in_channels": 16,
"num_attention_heads": 40,
"num_layers": 40,
"out_channels": 16,
"patch_size": [
1,
2,
2
],
"qk_norm": "rms_norm_across_heads",
"rope_max_seq_len": 1024,
"text_dim": 4096
}
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