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"""
Preview tab for Video Model Studio UI
"""
import gradio as gr
import logging
from pathlib import Path
from typing import Dict, Any, List, Optional, Tuple
from vms.tabs import BaseTab
from vms.config import (
MODEL_TYPES, DEFAULT_PROMPT_PREFIX
)
logger = logging.getLogger(__name__)
class PreviewTab(BaseTab):
"""Preview tab for testing trained models"""
def __init__(self, app_state):
super().__init__(app_state)
self.id = "preview_tab"
self.title = "6️⃣ Preview"
# Get reference to the preview service from app_state
self.previewing_service = app_state.previewing
def create(self, parent=None) -> gr.TabItem:
"""Create the Preview tab UI components"""
with gr.TabItem(self.title, id=self.id) as tab:
with gr.Row():
gr.Markdown("## Test Your Trained Model")
with gr.Row():
with gr.Column(scale=2):
self.components["prompt"] = gr.Textbox(
label="Prompt",
placeholder="Enter your prompt here...",
lines=3
)
self.components["negative_prompt"] = gr.Textbox(
label="Negative Prompt",
placeholder="Enter negative prompt here...",
lines=3,
value="worst quality, low quality, blurry, jittery, distorted, ugly, deformed, disfigured, messy background"
)
self.components["prompt_prefix"] = gr.Textbox(
label="Global Prompt Prefix",
placeholder="Prefix to add to all prompts",
value=DEFAULT_PROMPT_PREFIX
)
with gr.Row():
self.components["model_type"] = gr.Dropdown(
choices=list(MODEL_TYPES.keys()),
label="Model Type",
value=list(MODEL_TYPES.keys())[0]
)
self.components["resolution_preset"] = gr.Dropdown(
choices=["480p", "720p"],
label="Resolution Preset",
value="480p"
)
with gr.Row():
self.components["width"] = gr.Number(
label="Width",
value=832,
precision=0
)
self.components["height"] = gr.Number(
label="Height",
value=480,
precision=0
)
with gr.Row():
self.components["num_frames"] = gr.Slider(
label="Number of Frames",
minimum=1,
maximum=257,
step=8,
value=49
)
self.components["fps"] = gr.Slider(
label="FPS",
minimum=1,
maximum=60,
step=1,
value=16
)
with gr.Row():
self.components["guidance_scale"] = gr.Slider(
label="Guidance Scale",
minimum=1.0,
maximum=10.0,
step=0.1,
value=5.0
)
self.components["flow_shift"] = gr.Slider(
label="Flow Shift",
minimum=0.0,
maximum=10.0,
step=0.1,
value=3.0
)
with gr.Row():
self.components["lora_weight"] = gr.Slider(
label="LoRA Weight",
minimum=0.0,
maximum=1.0,
step=0.01,
value=0.7
)
self.components["inference_steps"] = gr.Slider(
label="Inference Steps",
minimum=1,
maximum=100,
step=1,
value=30
)
self.components["enable_cpu_offload"] = gr.Checkbox(
label="Enable Model CPU Offload (for low-VRAM GPUs)",
value=True
)
self.components["generate_btn"] = gr.Button(
"Generate Video",
variant="primary"
)
with gr.Column(scale=3):
self.components["preview_video"] = gr.Video(
label="Generated Video",
interactive=False
)
self.components["status"] = gr.Textbox(
label="Status",
interactive=False
)
with gr.Accordion("Log", open=False):
self.components["log"] = gr.TextArea(
label="Generation Log",
interactive=False,
lines=10
)
return tab
def connect_events(self) -> None:
"""Connect event handlers to UI components"""
# Update resolution when preset changes
self.components["resolution_preset"].change(
fn=self.update_resolution,
inputs=[self.components["resolution_preset"]],
outputs=[
self.components["width"],
self.components["height"],
self.components["flow_shift"]
]
)
# Generate button click
self.components["generate_btn"].click(
fn=self.generate_video,
inputs=[
self.components["model_type"],
self.components["prompt"],
self.components["negative_prompt"],
self.components["prompt_prefix"],
self.components["width"],
self.components["height"],
self.components["num_frames"],
self.components["guidance_scale"],
self.components["flow_shift"],
self.components["lora_weight"],
self.components["inference_steps"],
self.components["enable_cpu_offload"],
self.components["fps"]
],
outputs=[
self.components["preview_video"],
self.components["status"],
self.components["log"]
]
)
def update_resolution(self, preset: str) -> Tuple[int, int, float]:
"""Update resolution and flow shift based on preset"""
if preset == "480p":
return 832, 480, 3.0
elif preset == "720p":
return 1280, 720, 5.0
else:
return 832, 480, 3.0
def generate_video(
self,
model_type: str,
prompt: str,
negative_prompt: str,
prompt_prefix: str,
width: int,
height: int,
num_frames: int,
guidance_scale: float,
flow_shift: float,
lora_weight: float,
inference_steps: int,
enable_cpu_offload: bool,
fps: int
) -> Tuple[Optional[str], str, str]:
"""Handler for generate button click, delegates to preview service"""
return self.preview_service.generate_video(
model_type=model_type,
prompt=prompt,
negative_prompt=negative_prompt,
prompt_prefix=prompt_prefix,
width=width,
height=height,
num_frames=num_frames,
guidance_scale=guidance_scale,
flow_shift=flow_shift,
lora_weight=lora_weight,
inference_steps=inference_steps,
enable_cpu_offload=enable_cpu_offload,
fps=fps
) |