Instructions to use mlx-community/Bernini-R-1.3B-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Bernini-R-1.3B-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Bernini-R-1.3B-bf16 mlx-community/Bernini-R-1.3B-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,214 Bytes
131d52a | 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 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | {
"model_type": "t2v",
"model_version": "2.1",
"patch_size": [
1,
2,
2
],
"text_len": 512,
"in_dim": 16,
"dim": 1536,
"ffn_dim": 8960,
"freq_dim": 256,
"text_dim": 4096,
"out_dim": 16,
"num_heads": 12,
"num_layers": 30,
"window_size": [
-1,
-1
],
"qk_norm": true,
"cross_attn_norm": true,
"eps": 1e-06,
"vae_stride": [
4,
8,
8
],
"vae_z_dim": 16,
"dual_model": false,
"boundary": 0.0,
"sample_shift": 3.0,
"sample_steps": 50,
"sample_guide_scale": 5.0,
"num_train_timesteps": 1000,
"sample_fps": 16,
"frame_num": 81,
"sample_neg_prompt": "色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走",
"max_area": 0,
"t5_vocab_size": 256384,
"t5_dim": 4096,
"t5_dim_attn": 4096,
"t5_dim_ffn": 10240,
"t5_num_heads": 64,
"t5_num_layers": 24,
"t5_num_buckets": 32
} |