Text-to-Video
Diffusers
Safetensors
MiniMaxH3ModularPipeline
video-generation
audio
fastvideo
bf16
pruned
Instructions to use FastVideo/FastVideo-FastH3-Trim-8-Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-Trim-8-Step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastVideo-FastH3-Trim-8-Step", 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
File size: 953 Bytes
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"_class_name": "MiniMaxH3Transformer3DModel",
"_diffusers_version": "0.36.0.dev0",
"num_attention_heads": 56,
"attention_head_dim": 128,
"hidden_size": 5376,
"num_layers": 42,
"num_refiner_layers": 2,
"ffn_dim": 14336,
"in_channels": 24,
"audio_in_channels": 32,
"patch_size": [
1,
2,
2
],
"text_dim": 5120,
"freq_dim": 256,
"time_embed_hidden_dim": 5376,
"time_embed_dim": 2688,
"rope_freq_dim": 16,
"rope_theta": 10000.0,
"norm_eps": 1e-05,
"qk_norm_eps": 1e-05,
"final_norm_eps": 1e-05,
"adaln_rank": 16,
"source_num_layers": 50,
"kept_block_indices": [
0,
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}
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