STARFlow safetensors checkpoints

Safetensors conversions of Apple's STARFlow checkpoints. The files are intended for ComfyUI-STARFlow.

Models

STARFlow 3B — T2I

Field	Value
File	starflow_3B_t2i_256x256.safetensors
Task	Text-to-image
Resolution	256×256
Source	apple/starflow — starflow_3B_t2i_256x256.pth
Text encoder	google/flan-t5-xl
VAE	stabilityai/sd-vae-ft-ema
Source SHA-256	04ec45f310ec4ae4e014d1c22cf2d1873a82e5b76db78c94b22a11bcbc408260
Safetensors SHA-256	e0a07e3363b27aba7b80e4e99795481b6990cfb622382c190cc3fec17bc7b1f33
Safetensors size	15,465,634,832 bytes

The conversion script selects all tensor entries from the source state dictionary and skips non-tensor metadata. The source and converted file hashes are recorded above; unlike the T2V conversion, no tensor-by-tensor verification claim is made for this T2I file.

import torch
from safetensors.torch import save_file

src = torch.load("starflow_3B_t2i_256x256.pth", map_location="cpu")
if isinstance(src, dict) and "state_dict" in src:
    src = src["state_dict"]
tensors = {k: v for k, v in src.items()
           if isinstance(k, str) and torch.is_tensor(v)}
save_file(tensors, "starflow_3B_t2i_256x256.safetensors")

Use the STARFlow T2I workflow with stabilityai/sd-vae-ft-ema (or the equivalent ComfyUI SD VAE checkpoint) and a local FLAN-T5-XL text encoder.

STARFlow-V 7B — T2V / first-frame I2V

Field	Value
File	starflow-v_7B_t2v_caus_480p_v3.safetensors
Task	Text-to-video and first-frame image-to-video
Resolution	480p-class, mixed aspect ratios (img_size: 640 area bucket)
Temporal	81 frames at 16 FPS (~5 seconds)
Source	apple/starflow @ fddf7567a91e5cee12d5df48924caf52d7c23b0c
Source file	starflow-v_7B_t2v_caus_480p_v3.pth
Text encoder	google/flan-t5-xl
VAE	Wan-AI/Wan2.2-TI2V-5B-Diffusers, temporal latent scale 0.6
Source SHA-256	0acbdacb03920dc8ad1c6e6c5d015fb5296811fcabffdee0f2508297032e2d69
Safetensors SHA-256	722a762df5fc49021e93e2e87ccfe182b5b849729d0cd9c93de01b614ce96a07
Safetensors size	27,600,625,384 bytes
Verification	558 tensors, byte-identical names, shapes, dtypes, and values

The conversion uses torch.load(..., weights_only=True) and writes one safetensors file without prefix stripping, dtype conversion, or tensor-value changes. Non-contiguous tensors are made contiguous only as required by the safetensors format.

Use the STARFlow-V T2V or first-frame I2V workflow with the native Wan2.2 VAE.

ComfyUI

The current public ComfyUI-STARFlow release supports the T2I checkpoint. STARFlow-V T2V and first-frame I2V nodes are being integrated into the same repository; use a plugin revision that explicitly includes the STARFlowV* nodes before selecting the video checkpoint. T2V/I2V additionally require a local FLAN-T5-XL text encoder and the Wan2.2-TI2V VAE.

License

Apple Machine Learning Research Model is licensed under the Apple Machine Learning Research Model License Agreement. See LICENSE_MODEL. These files are format-only redistributions/model derivatives: no weights were retrained, fine-tuned, or altered in value. The license permits research purposes only and excludes commercial exploitation, product development, and use in a commercial product or service.