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Update app.py
Browse files
app.py
CHANGED
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@@ -4,6 +4,7 @@ import json
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import base64
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import mimetypes
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import tempfile
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from pathlib import Path
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from urllib.parse import quote
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@@ -22,7 +23,7 @@ IMAGE_RESOLUTIONS = ["1k", "2k"]
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VIDEO_ASPECT_RATIOS = ["16:9", "9:16", "1:1", "4:3", "3:4", "3:2", "2:3"]
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VIDEO_RESOLUTIONS = ["480p", "720p"]
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APP_TITLE = "xAI Imagine Studio — T2I + I2I + I2V + V2V"
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def auth_headers(api_key: str) -> dict:
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@@ -49,6 +50,25 @@ def file_to_data_uri(filepath: str) -> str:
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return f"data:{mime};base64,{b64}"
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def download_bytes_to_temp(content: bytes, suffix: str) -> str:
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fd, out_path = tempfile.mkstemp(suffix=suffix)
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os.close(fd)
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@@ -100,6 +120,31 @@ def extract_video_path(video_input):
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return str(video_input)
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def generate_t2i(api_key, model, prompt, n, aspect_ratio, resolution, progress=gr.Progress(track_tqdm=False)):
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headers = auth_headers(api_key)
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payload = {
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@@ -146,28 +191,12 @@ def generate_t2i(api_key, model, prompt, n, aspect_ratio, resolution, progress=g
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return gallery, paths[0], paths, f"Generated {len(paths)} image(s)."
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def edit_like_i2i(api_key, model, prompt,
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headers = auth_headers(api_key)
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raise gr.Error("Please upload an image.")
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if not (prompt or "").strip():
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raise gr.Error("Please enter a prompt.")
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payload = {
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"model": model or DEFAULT_IMAGE_MODEL,
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"prompt": prompt.strip(),
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"image": {
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"url": file_to_data_uri(input_image_path),
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"type": "image_url",
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},
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"response_format": "b64_json",
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}
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if aspect_ratio and aspect_ratio != "auto":
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payload["aspect_ratio"] = aspect_ratio
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-
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progress(0.2, desc="Editing image...")
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resp = requests.post(
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f"{API_BASE}/images/edits",
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headers=headers,
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@@ -332,6 +361,98 @@ def generate_v2v(
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return out, out, f"V2V complete. Request ID: {request_id}. Duration: {actual_duration}s"
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css_path = Path("style.css")
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css = css_path.read_text(encoding="utf-8") if css_path.exists() else ""
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@@ -343,6 +464,9 @@ with gr.Blocks(title=APP_TITLE, css=css, theme=gr.themes.Soft()) as demo:
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t2i_first_image_state = gr.State(None)
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t2i_all_images_state = gr.State([])
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with gr.Row():
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with gr.Column(scale=2):
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@@ -404,7 +528,12 @@ with gr.Blocks(title=APP_TITLE, css=css, theme=gr.themes.Soft()) as demo:
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with gr.Tab("Image → Image"):
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with gr.Row():
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with gr.Column():
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i2i_input = gr.
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i2i_prompt = gr.Textbox(label="Transformation Prompt", lines=6)
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i2i_aspect = gr.Dropdown(label="Aspect Ratio Override", choices=IMAGE_ASPECT_RATIOS, value="auto")
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i2i_btn = gr.Button("Generate I2I", variant="primary")
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@@ -417,7 +546,12 @@ with gr.Blocks(title=APP_TITLE, css=css, theme=gr.themes.Soft()) as demo:
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with gr.Tab("Image Edit"):
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with gr.Row():
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with gr.Column():
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edit_input = gr.
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edit_prompt = gr.Textbox(label="Edit Prompt", lines=6)
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edit_aspect = gr.Dropdown(label="Aspect Ratio Override", choices=IMAGE_ASPECT_RATIOS, value="auto")
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edit_btn = gr.Button("Edit Image", variant="primary")
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@@ -456,6 +590,37 @@ with gr.Blocks(title=APP_TITLE, css=css, theme=gr.themes.Soft()) as demo:
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v2v_video_out = gr.Video(label="Generated V2V Video")
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v2v_download = gr.File(label="Download V2V Video")
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t2i_btn.click(
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fn=generate_t2i,
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inputs=[api_key, image_model, t2i_prompt, t2i_n, t2i_aspect, t2i_resolution],
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@@ -499,6 +664,11 @@ with gr.Blocks(title=APP_TITLE, css=css, theme=gr.themes.Soft()) as demo:
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],
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outputs=[i2v_video, i2v_download, i2v_status],
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api_name=False,
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)
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v2v_btn.click(
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inputs=[api_key, video_model, v2v_prompt, v2v_video_in, poll_timeout, poll_interval],
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outputs=[v2v_video_out, v2v_download, v2v_status],
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api_name=False,
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)
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if __name__ == "__main__":
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import base64
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import mimetypes
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import tempfile
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import subprocess
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from pathlib import Path
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from urllib.parse import quote
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VIDEO_ASPECT_RATIOS = ["16:9", "9:16", "1:1", "4:3", "3:4", "3:2", "2:3"]
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VIDEO_RESOLUTIONS = ["480p", "720p"]
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APP_TITLE = "xAI Imagine Studio — T2I + I2I + I2V + V2V + Video Expand"
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def auth_headers(api_key: str) -> dict:
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return f"data:{mime};base64,{b64}"
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def normalize_uploaded_files(files):
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if not files:
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return []
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if isinstance(files, (str, Path)):
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return [str(files)]
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normalized = []
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for item in files:
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if isinstance(item, str):
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normalized.append(item)
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elif isinstance(item, dict):
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path = item.get("path") or item.get("name")
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if path:
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normalized.append(path)
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else:
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normalized.append(str(item))
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return normalized
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def download_bytes_to_temp(content: bytes, suffix: str) -> str:
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fd, out_path = tempfile.mkstemp(suffix=suffix)
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os.close(fd)
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return str(video_input)
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def build_image_edit_payload(prompt: str, image_paths: list[str], model: str, aspect_ratio: str):
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if not image_paths:
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raise gr.Error("Please upload at least one image.")
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if not (prompt or "").strip():
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raise gr.Error("Please enter a prompt.")
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images = [{"url": file_to_data_uri(path), "type": "image_url"} for path in image_paths]
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payload = {
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"model": model or DEFAULT_IMAGE_MODEL,
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"prompt": prompt.strip(),
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"response_format": "b64_json",
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}
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if len(images) == 1:
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payload["image"] = images[0]
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else:
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payload["images"] = images
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if aspect_ratio and aspect_ratio != "auto":
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payload["aspect_ratio"] = aspect_ratio
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return payload
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def generate_t2i(api_key, model, prompt, n, aspect_ratio, resolution, progress=gr.Progress(track_tqdm=False)):
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headers = auth_headers(api_key)
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payload = {
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return gallery, paths[0], paths, f"Generated {len(paths)} image(s)."
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def edit_like_i2i(api_key, model, prompt, input_images, aspect_ratio, progress=gr.Progress(track_tqdm=False)):
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headers = auth_headers(api_key)
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image_paths = normalize_uploaded_files(input_images)
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payload = build_image_edit_payload(prompt, image_paths, model, aspect_ratio)
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progress(0.2, desc="Editing image(s)...")
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resp = requests.post(
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f"{API_BASE}/images/edits",
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headers=headers,
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return out, out, f"V2V complete. Request ID: {request_id}. Duration: {actual_duration}s"
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def get_video_duration(video_path: str) -> float:
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cmd = [
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"ffprobe",
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"-v", "error",
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"-show_entries", "format=duration",
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"-of", "default=noprint_wrappers=1:nokey=1",
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video_path,
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]
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result = subprocess.run(cmd, capture_output=True, text=True)
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if result.returncode != 0:
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raise gr.Error(f"Could not read video duration:\n{result.stderr}")
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try:
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return float(result.stdout.strip())
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except Exception:
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raise gr.Error("Could not parse video duration.")
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def extract_frame_from_video(video_path: str, seconds: float) -> str:
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fd, frame_path = tempfile.mkstemp(suffix=".png")
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os.close(fd)
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cmd = [
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"ffmpeg",
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"-y",
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"-ss", str(seconds),
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"-i", video_path,
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"-frames:v", "1",
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frame_path,
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]
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result = subprocess.run(cmd, capture_output=True, text=True)
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if result.returncode != 0:
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raise gr.Error(f"Frame extraction failed:\n{result.stderr}")
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return frame_path
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def prepare_expand_video(video_input, use_last_generated_video, last_generated_video_path):
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video_path = last_generated_video_path if use_last_generated_video and last_generated_video_path else extract_video_path(video_input)
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if not video_path:
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raise gr.Error("Upload a video or enable 'Use last generated video'.")
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duration = get_video_duration(video_path)
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max_time = max(0.1, duration)
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return video_path, gr.update(maximum=max_time, value=min(max_time / 2, max_time)), f"Loaded video. Duration: {duration:.2f}s"
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def extract_expand_frame(
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video_input,
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use_last_generated_video,
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last_generated_video_path,
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timestamp_seconds,
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):
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video_path = last_generated_video_path if use_last_generated_video and last_generated_video_path else extract_video_path(video_input)
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if not video_path:
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raise gr.Error("Upload a video or enable 'Use last generated video'.")
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duration = get_video_duration(video_path)
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ts = max(0.0, min(float(timestamp_seconds), max(duration - 0.01, 0.0)))
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frame_path = extract_frame_from_video(video_path, ts)
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return frame_path, frame_path, f"Extracted frame at {ts:.2f}s"
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def continue_video_from_frame(
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api_key,
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model,
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prompt,
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extracted_frame_path,
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duration,
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aspect_ratio,
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resolution,
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timeout_seconds,
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poll_interval,
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progress=gr.Progress(track_tqdm=False),
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):
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if not extracted_frame_path:
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raise gr.Error("Extract a frame first.")
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return generate_i2v(
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api_key=api_key,
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model=model,
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prompt=prompt,
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uploaded_image_path=extracted_frame_path,
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| 445 |
+
use_last_t2i_image=False,
|
| 446 |
+
last_t2i_first_image=None,
|
| 447 |
+
duration=duration,
|
| 448 |
+
aspect_ratio=aspect_ratio,
|
| 449 |
+
resolution=resolution,
|
| 450 |
+
timeout_seconds=timeout_seconds,
|
| 451 |
+
poll_interval=poll_interval,
|
| 452 |
+
progress=progress,
|
| 453 |
+
)
|
| 454 |
+
|
| 455 |
+
|
| 456 |
css_path = Path("style.css")
|
| 457 |
css = css_path.read_text(encoding="utf-8") if css_path.exists() else ""
|
| 458 |
|
|
|
|
| 464 |
|
| 465 |
t2i_first_image_state = gr.State(None)
|
| 466 |
t2i_all_images_state = gr.State([])
|
| 467 |
+
last_generated_video_state = gr.State(None)
|
| 468 |
+
expand_source_video_state = gr.State(None)
|
| 469 |
+
expand_frame_state = gr.State(None)
|
| 470 |
|
| 471 |
with gr.Row():
|
| 472 |
with gr.Column(scale=2):
|
|
|
|
| 528 |
with gr.Tab("Image → Image"):
|
| 529 |
with gr.Row():
|
| 530 |
with gr.Column():
|
| 531 |
+
i2i_input = gr.File(
|
| 532 |
+
label="Upload Source Image(s)",
|
| 533 |
+
file_count="multiple",
|
| 534 |
+
file_types=["image"],
|
| 535 |
+
type="filepath",
|
| 536 |
+
)
|
| 537 |
i2i_prompt = gr.Textbox(label="Transformation Prompt", lines=6)
|
| 538 |
i2i_aspect = gr.Dropdown(label="Aspect Ratio Override", choices=IMAGE_ASPECT_RATIOS, value="auto")
|
| 539 |
i2i_btn = gr.Button("Generate I2I", variant="primary")
|
|
|
|
| 546 |
with gr.Tab("Image Edit"):
|
| 547 |
with gr.Row():
|
| 548 |
with gr.Column():
|
| 549 |
+
edit_input = gr.File(
|
| 550 |
+
label="Upload Image(s)",
|
| 551 |
+
file_count="multiple",
|
| 552 |
+
file_types=["image"],
|
| 553 |
+
type="filepath",
|
| 554 |
+
)
|
| 555 |
edit_prompt = gr.Textbox(label="Edit Prompt", lines=6)
|
| 556 |
edit_aspect = gr.Dropdown(label="Aspect Ratio Override", choices=IMAGE_ASPECT_RATIOS, value="auto")
|
| 557 |
edit_btn = gr.Button("Edit Image", variant="primary")
|
|
|
|
| 590 |
v2v_video_out = gr.Video(label="Generated V2V Video")
|
| 591 |
v2v_download = gr.File(label="Download V2V Video")
|
| 592 |
|
| 593 |
+
with gr.Tab("Video Expand"):
|
| 594 |
+
with gr.Row():
|
| 595 |
+
with gr.Column():
|
| 596 |
+
expand_video_input = gr.Video(label="Upload Source Video")
|
| 597 |
+
use_last_generated_video = gr.Checkbox(label="Use last generated video", value=True)
|
| 598 |
+
expand_load_btn = gr.Button("Load Video", variant="secondary")
|
| 599 |
+
expand_video_status = gr.Textbox(label="Video Status", interactive=False, lines=3)
|
| 600 |
+
|
| 601 |
+
expand_timestamp = gr.Slider(
|
| 602 |
+
label="Frame timestamp (seconds)",
|
| 603 |
+
minimum=0,
|
| 604 |
+
maximum=10,
|
| 605 |
+
step=0.1,
|
| 606 |
+
value=0,
|
| 607 |
+
)
|
| 608 |
+
expand_extract_btn = gr.Button("Extract Frame", variant="secondary")
|
| 609 |
+
expand_frame_status = gr.Textbox(label="Frame Status", interactive=False, lines=3)
|
| 610 |
+
|
| 611 |
+
expand_prompt = gr.Textbox(label="Continuation Prompt", lines=6)
|
| 612 |
+
expand_duration = gr.Slider(label="Next Segment Duration", minimum=1, maximum=15, step=1, value=5)
|
| 613 |
+
expand_aspect = gr.Dropdown(label="Aspect Ratio", choices=VIDEO_ASPECT_RATIOS, value="16:9")
|
| 614 |
+
expand_resolution = gr.Dropdown(label="Resolution", choices=VIDEO_RESOLUTIONS, value="480p")
|
| 615 |
+
expand_btn = gr.Button("Generate Next Video Segment", variant="primary")
|
| 616 |
+
expand_status = gr.Textbox(label="Expand Status", interactive=False, lines=5)
|
| 617 |
+
|
| 618 |
+
with gr.Column():
|
| 619 |
+
expand_frame_preview = gr.Image(label="Extracted Frame", type="filepath")
|
| 620 |
+
expand_frame_download = gr.File(label="Download Extracted Frame")
|
| 621 |
+
expand_video_out = gr.Video(label="Expanded Video")
|
| 622 |
+
expand_video_download = gr.File(label="Download Expanded Video")
|
| 623 |
+
|
| 624 |
t2i_btn.click(
|
| 625 |
fn=generate_t2i,
|
| 626 |
inputs=[api_key, image_model, t2i_prompt, t2i_n, t2i_aspect, t2i_resolution],
|
|
|
|
| 664 |
],
|
| 665 |
outputs=[i2v_video, i2v_download, i2v_status],
|
| 666 |
api_name=False,
|
| 667 |
+
).then(
|
| 668 |
+
fn=lambda p: p,
|
| 669 |
+
inputs=[i2v_video],
|
| 670 |
+
outputs=[last_generated_video_state],
|
| 671 |
+
api_name=False,
|
| 672 |
)
|
| 673 |
|
| 674 |
v2v_btn.click(
|
|
|
|
| 676 |
inputs=[api_key, video_model, v2v_prompt, v2v_video_in, poll_timeout, poll_interval],
|
| 677 |
outputs=[v2v_video_out, v2v_download, v2v_status],
|
| 678 |
api_name=False,
|
| 679 |
+
).then(
|
| 680 |
+
fn=lambda p: p,
|
| 681 |
+
inputs=[v2v_video_out],
|
| 682 |
+
outputs=[last_generated_video_state],
|
| 683 |
+
api_name=False,
|
| 684 |
+
)
|
| 685 |
+
|
| 686 |
+
expand_load_btn.click(
|
| 687 |
+
fn=prepare_expand_video,
|
| 688 |
+
inputs=[expand_video_input, use_last_generated_video, last_generated_video_state],
|
| 689 |
+
outputs=[expand_source_video_state, expand_timestamp, expand_video_status],
|
| 690 |
+
api_name=False,
|
| 691 |
+
)
|
| 692 |
+
|
| 693 |
+
expand_extract_btn.click(
|
| 694 |
+
fn=extract_expand_frame,
|
| 695 |
+
inputs=[expand_video_input, use_last_generated_video, last_generated_video_state, expand_timestamp],
|
| 696 |
+
outputs=[expand_frame_preview, expand_frame_download, expand_frame_status],
|
| 697 |
+
api_name=False,
|
| 698 |
+
).then(
|
| 699 |
+
fn=lambda p: p,
|
| 700 |
+
inputs=[expand_frame_preview],
|
| 701 |
+
outputs=[expand_frame_state],
|
| 702 |
+
api_name=False,
|
| 703 |
+
)
|
| 704 |
+
|
| 705 |
+
expand_btn.click(
|
| 706 |
+
fn=continue_video_from_frame,
|
| 707 |
+
inputs=[
|
| 708 |
+
api_key,
|
| 709 |
+
video_model,
|
| 710 |
+
expand_prompt,
|
| 711 |
+
expand_frame_state,
|
| 712 |
+
expand_duration,
|
| 713 |
+
expand_aspect,
|
| 714 |
+
expand_resolution,
|
| 715 |
+
poll_timeout,
|
| 716 |
+
poll_interval,
|
| 717 |
+
],
|
| 718 |
+
outputs=[expand_video_out, expand_video_download, expand_status],
|
| 719 |
+
api_name=False,
|
| 720 |
+
).then(
|
| 721 |
+
fn=lambda p: p,
|
| 722 |
+
inputs=[expand_video_out],
|
| 723 |
+
outputs=[last_generated_video_state],
|
| 724 |
+
api_name=False,
|
| 725 |
)
|
| 726 |
|
| 727 |
if __name__ == "__main__":
|