Instructions to use FastVideo/FastMochi-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastMochi-diffusers 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/FastMochi-diffusers", 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: 423 Bytes
f998e55 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"patch_size": 2,
"num_attention_heads": 24,
"attention_head_dim": 128,
"num_layers": 48,
"pooled_projection_dim": 1536,
"in_channels": 12,
"out_channels": null,
"qk_norm": "rms_norm",
"text_embed_dim": 4096,
"time_embed_dim": 256,
"activation_fn": "swiglu",
"max_sequence_length": 256,
"_class_name": "MochiTransformer3DModel",
"_diffusers_version": "0.32.0.dev0"
} |