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

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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
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examples/inference/basic/basic_kandinsky5_t2v.py
+34 -16
View File
@@ -1,28 +1,41 @@
from fastvideo import VideoGenerator
from fastvideo.api import (EngineConfig, GenerationRequest, GeneratorConfig,
OffloadConfig, OutputConfig, SamplingConfig)
OUTPUT_PATH = "video_samples_kandinsky5_t2v"
def main():
generator = VideoGenerator.from_pretrained(
"kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers",
# "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers"
# "kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers"
# "kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers"
num_gpus=1,
use_fsdp_inference=False,
dit_cpu_offload=False,
vae_cpu_offload=False,
text_encoder_cpu_offload=True,
pin_cpu_memory=True,
# image_encoder_cpu_offload=False,
)
generator = VideoGenerator.from_config(
GeneratorConfig(
model_path="kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers",
# "kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers"
# "kandinskylab/Kandinsky-5.0-T2V-Lite-distilled16steps-5s-Diffusers"
# "kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers"
engine=EngineConfig(
num_gpus=1,
use_fsdp_inference=False,
offload=OffloadConfig(
dit=False,
vae=False,
text_encoder=True,
pin_cpu_memory=True,
# image_encoder=False,
),
),
))
prompt = (
"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
"wide with interest. The playful yet serene atmosphere is complemented by soft "
"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
)
_ = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True,height=512, width=768, num_frames=121)
_ = generator.generate(
GenerationRequest(
prompt=prompt,
sampling=SamplingConfig(height=512, width=768, num_frames=121),
output=OutputConfig(output_path=OUTPUT_PATH, save_video=True),
))
prompt2 = (
"A majestic lion strides across the golden savanna, its powerful frame "
@@ -30,8 +43,13 @@ def main():
"the breeze, enhancing the lion's commanding presence. The tone is vibrant, "
"embodying the raw energy of the wild. Low angle, steady tracking shot, "
"cinematic.")
_ = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=True, height=512, width=768, num_frames=121)
_ = generator.generate(
GenerationRequest(
prompt=prompt2,
sampling=SamplingConfig(height=512, width=768, num_frames=121),
output=OutputConfig(output_path=OUTPUT_PATH, save_video=True),
))
if __name__ == "__main__":
main()
main()