Instructions to use IamCreateAI/Ruyi-Mini-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IamCreateAI/Ruyi-Mini-7B 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("IamCreateAI/Ruyi-Mini-7B", 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: 795 Bytes
f6f8e63 | 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 | {
"_class_name": "HunyuanTransformer3DModel",
"_diffusers_version": "0.30.2",
"activation_fn": "gelu-approximate",
"after_norm": false,
"attention_head_dim": 176,
"basic_block_type": "basic",
"cross_attention_dim": 1024,
"cross_attention_dim_t5": 2048,
"hidden_size": 2816,
"in_channels": 48,
"learn_sigma": true,
"mlp_ratio": 4.3637,
"motion_module_kwargs": null,
"motion_module_kwargs_even": null,
"motion_module_kwargs_odd": null,
"motion_module_type": "VanillaGrid",
"n_query": 16,
"norm_type": "layer_norm",
"num_attention_heads": 16,
"num_layers": 40,
"out_channels": 32,
"patch_size": 2,
"pooled_projection_dim": 1024,
"projection_dim": 1024,
"sample_size": 128,
"text_len": 77,
"text_len_t5": 256,
"time_position_encoding": true
}
|