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cosmos2_5vae

Cosmos 2.5 (Wan2.1-style) VAE config and checkpoint-key mapping.

Classes

fastvideo.configs.models.vaes.cosmos2_5vae.Cosmos25VAEArchConfig dataclass 

Cosmos25VAEArchConfig(stacked_params_mapping: list[tuple[str, str, str]] = list(), scaling_factor: float | Tensor = 0, temporal_compression_ratio: int = 4, spatial_compression_ratio: int = 8, _name_or_path: str = '', base_dim: int = 96, decoder_base_dim: int | None = None, z_dim: int = 16, dim_mult: tuple[int, ...] = (1, 2, 4, 4), num_res_blocks: int = 2, attn_scales: tuple[float, ...] = (), temperal_downsample: tuple[bool, ...] = (False, True, True), dropout: float = 0.0, is_residual: bool = False, in_channels: int = 3, out_channels: int = 3, patch_size: int | None = None, scale_factor_temporal: int = 4, scale_factor_spatial: int = 8, clip_output: bool = True, latents_mean: tuple[float, ...] = (-0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921), latents_std: tuple[float, ...] = (2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.916), param_names_mapping: dict[str, str] = (lambda: {'^conv1\\.(.*)$': 'quant_conv.\\1', '^conv2\\.(.*)$': 'post_quant_conv.\\1', '^encoder\\.conv1\\.(.*)$': 'encoder.conv_in.\\1', '^decoder\\.conv1\\.(.*)$': 'decoder.conv_in.\\1', '^encoder\\.head\\.0\\.gamma$': 'encoder.norm_out.gamma', '^encoder\\.head\\.2\\.(.*)$': 'encoder.conv_out.\\1', '^decoder\\.head\\.0\\.gamma$': 'decoder.norm_out.gamma', '^decoder\\.head\\.2\\.(.*)$': 'decoder.conv_out.\\1'})())

Bases: VAEArchConfig

Functions

fastvideo.configs.models.vaes.cosmos2_5vae.Cosmos25VAEArchConfig.map_official_key staticmethod 
map_official_key(key: str) -> str | None

Map a single official checkpoint key into FastVideo key space.

Source code in fastvideo/configs/models/vaes/cosmos2_5vae.py 
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@staticmethod
def map_official_key(key: str) -> str | None:
    """Map a single official checkpoint key into FastVideo key space."""

    def map_residual_subkey(prefix: str, sub: str) -> str | None:
        if re.match(r"^residual\.0\.gamma$", sub):
            return f"{prefix}.norm1.gamma"
        m = re.match(r"^residual\.2\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.conv1.{m.group(1)}"
        if re.match(r"^residual\.3\.gamma$", sub):
            return f"{prefix}.norm2.gamma"
        m = re.match(r"^residual\.6\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.conv2.{m.group(1)}"
        m = re.match(r"^shortcut\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.conv_shortcut.{m.group(1)}"
        return None

    def map_attn_subkey(prefix: str, sub: str) -> str | None:
        if re.match(r"^norm\.gamma$", sub):
            return f"{prefix}.norm.gamma"
        m = re.match(r"^to_qkv\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.to_qkv.{m.group(1)}"
        m = re.match(r"^proj\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.proj.{m.group(1)}"
        return None

    def map_resample_subkey(prefix: str, sub: str) -> str | None:
        m = re.match(r"^resample\.1\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.resample.1.{m.group(1)}"
        m = re.match(r"^time_conv\.(weight|bias)$", sub)
        if m:
            return f"{prefix}.time_conv.{m.group(1)}"
        return None

    m = re.match(r"^conv1\.(weight|bias)$", key)
    if m:
        return f"quant_conv.{m.group(1)}"
    m = re.match(r"^conv2\.(weight|bias)$", key)
    if m:
        return f"post_quant_conv.{m.group(1)}"
    m = re.match(r"^(encoder|decoder)\.conv1\.(weight|bias)$", key)
    if m:
        return f"{m.group(1)}.conv_in.{m.group(2)}"
    m = re.match(r"^(encoder|decoder)\.head\.0\.gamma$", key)
    if m:
        return f"{m.group(1)}.norm_out.gamma"
    m = re.match(r"^(encoder|decoder)\.head\.2\.(weight|bias)$", key)
    if m:
        return f"{m.group(1)}.conv_out.{m.group(2)}"

    m = re.match(r"^(encoder|decoder)\.middle\.0\.(.*)$", key)
    if m:
        return map_residual_subkey(f"{m.group(1)}.mid_block.resnets.0",
                                   m.group(2))
    m = re.match(r"^(encoder|decoder)\.middle\.1\.(.*)$", key)
    if m:
        return map_attn_subkey(f"{m.group(1)}.mid_block.attentions.0",
                               m.group(2))
    m = re.match(r"^(encoder|decoder)\.middle\.2\.(.*)$", key)
    if m:
        return map_residual_subkey(f"{m.group(1)}.mid_block.resnets.1",
                                   m.group(2))

    m = re.match(r"^encoder\.downsamples\.(\d+)\.(.*)$", key)
    if m:
        idx = int(m.group(1))
        sub = m.group(2)
        if sub.startswith("residual.") or sub.startswith("shortcut."):
            return map_residual_subkey(f"encoder.down_blocks.{idx}", sub)
        if sub.startswith("resample.") or sub.startswith("time_conv."):
            return map_resample_subkey(f"encoder.down_blocks.{idx}", sub)
        return None

    m = re.match(r"^decoder\.upsamples\.(\d+)\.(.*)$", key)
    if m:
        uidx = int(m.group(1))
        sub = m.group(2)

        if uidx in (0, 1, 2):
            block_i, res_i = 0, uidx
        elif uidx == 3:
            block_i, res_i = 0, None
        elif uidx in (4, 5, 6):
            block_i, res_i = 1, uidx - 4
        elif uidx == 7:
            block_i, res_i = 1, None
        elif uidx in (8, 9, 10):
            block_i, res_i = 2, uidx - 8
        elif uidx == 11:
            block_i, res_i = 2, None
        elif uidx in (12, 13, 14):
            block_i, res_i = 3, uidx - 12
        else:
            return None

        if res_i is None:
            return map_resample_subkey(
                f"decoder.up_blocks.{block_i}.upsamplers.0",
                sub,
            )

        return map_residual_subkey(
            f"decoder.up_blocks.{block_i}.resnets.{res_i}",
            sub,
        )

    return None

fastvideo.configs.models.vaes.cosmos2_5vae.Cosmos25VAEConfig dataclass 

Cosmos25VAEConfig(arch_config: Cosmos25VAEArchConfig = Cosmos25VAEArchConfig(), load_encoder: bool = True, load_decoder: bool = True, tile_sample_min_height: int = 256, tile_sample_min_width: int = 256, tile_sample_min_num_frames: int = 16, tile_sample_stride_height: int = 192, tile_sample_stride_width: int = 192, tile_sample_stride_num_frames: int = 12, blend_num_frames: int = 0, use_tiling: bool = False, use_temporal_tiling: bool = False, use_parallel_tiling: bool = False, use_temporal_scaling_frames: bool = True, use_feature_cache: bool = True)

Bases: VAEConfig

Cosmos2.5 VAE config.