[refactor]: migrate examples/scripts to typed VideoGenerator API; rename api/compat.py to api/translation.py

Move all examples/inference and scripts off the legacy
VideoGenerator.from_pretrained(model, **kwargs) +
generate_video(prompt, **kwargs) surface onto the typed
from_config(GeneratorConfig(...)) + generate(GenerationRequest(...))
convention, including the Kandinsky-5 and DreamX-World examples added
on main after the original migration. git-mv api/compat.py to
api/translation.py ('compat' implied a temporary shim; the forward
translation is its honest permanent role) and repoint all importers,
tests, and doc links.
This commit is contained in:
SolitaryThinker
2026-07-11 03:26:24 -07:00
parent 19a51a1fe6
commit bbbb7ab021
87 changed files with 2493 additions and 1461 deletions
+19 -13
View File
@@ -51,25 +51,31 @@ Prerequisites:
uv pip install k_diffusion einops_exts alias_free_torch torchsde
"""
from fastvideo import VideoGenerator
from fastvideo.api import (EngineConfig, GenerationRequest, GeneratorConfig,
OutputConfig)
PROMPT = "Lo-fi hip hop instrumental with vinyl crackle and gentle piano."
def main() -> None:
generator = VideoGenerator.from_pretrained(
"FastVideo/stable-audio-open-1.0-Diffusers",
num_gpus=1,
)
generator = VideoGenerator.from_config(
GeneratorConfig(
model_path="FastVideo/stable-audio-open-1.0-Diffusers",
engine=EngineConfig(num_gpus=1),
))
output_path = "outputs_audio/stable_audio_basic/output_stable_audio.wav"
generator.generate_video(
prompt=PROMPT,
output_path=output_path,
save_video=True,
# 6-second clip; the model max is ~47.5s.
audio_end_in_s=6.0,
# The registered preset gives 100 steps + CFG=7.0 by default;
# override num_inference_steps / guidance_scale here for QA.
)
generator.generate(
GenerationRequest(
prompt=PROMPT,
output=OutputConfig(
output_path=output_path,
save_video=True,
),
# 6-second clip; the model max is ~47.5s.
extensions={"audio_end_in_s": 6.0},
# The registered preset gives 100 steps + CFG=7.0 by default;
# override num_inference_steps / guidance_scale here for QA.
))
generator.shutdown()