Spaces:
Running on Zero
Running on Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -77,11 +77,6 @@ MAX_IMAGE_SLOTS, OPEN_IMAGE_SLOTS = 9, 2
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MIN_STEPS = 4
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SETTINGS_HELP = """Saves the prompt, the canvas and the sliders — everything typed rather than uploaded. Images,
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audio and video are not saved: gradio keeps them in a temporary folder that is gone by the next visit, so a saved
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path would come back as a dead file.
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"""
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# Seconds of GPU one request needs, from the packed sequence it is about to denoise: linear in the rows for the
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# matmuls, quadratic for the attention, against the AoTI block package this Space runs.
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STEP_LINEAR, STEP_QUADRATIC, SAFETY = 1.1745e-4, 3.8396e-9, 1.3
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@@ -528,55 +523,6 @@ def generate(
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return path, refined, gr.update(visible=bool(refined))
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# ----------------------------------------------------------------------------------------------------------------
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# Settings file
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# ----------------------------------------------------------------------------------------------------------------
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# Everything typed rather than uploaded, so a session can be picked up where it was left off. The references
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# themselves are deliberately left out: gradio hands them over as paths into a per-session temporary directory that
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# is gone by the next visit, so a saved path would restore as a dead file rather than as the image.
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SETTINGS_VERSION = 1
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SETTINGS_KEYS = ["prompt", "upsample", "canvas", "match", "duration", "steps", "seed"]
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def save_settings(*values):
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"""Write the current controls to a `.json` and reveal it for download."""
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payload = {"version": SETTINGS_VERSION, "saved": time.strftime("%Y-%m-%d %H:%M:%S")}
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payload.update(dict(zip(SETTINGS_KEYS, values)))
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directory = os.path.join(tempfile.gettempdir(), "h3-settings")
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os.makedirs(directory, exist_ok=True)
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path = os.path.join(directory, f"h3-settings-{int(time.time())}.json")
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with open(path, "w", encoding="utf-8") as handle:
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json.dump(payload, handle, ensure_ascii=False, indent=2, default=str)
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return gr.update(value=path, visible=True)
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def load_settings(path):
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"""Restore the controls from a `.json`. A key the file does not carry leaves its control alone, so a settings
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file written by an older version of this Space still loads."""
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if not path:
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return [gr.update() for _ in SETTINGS_KEYS]
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try:
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with open(path, encoding="utf-8") as handle:
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payload = json.load(handle)
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except Exception as error:
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raise gr.Error(f"Файлът с настройки не се чете: `{type(error).__name__}: {error}`")
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if not isinstance(payload, dict):
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raise gr.Error("Това не е файл с настройки на този Space.")
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updates = []
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for key in SETTINGS_KEYS:
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value = payload.get(key)
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# An unknown canvas label would be rejected by the conditioner, which is the wrong place to find out.
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if value is None or (key == "canvas" and value not in CANVASES):
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updates.append(gr.update())
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else:
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updates.append(gr.update(value=value))
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return updates
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load_models()
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INTRO = """# MiniMax-H3 Reference
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steps = gr.Slider(label="Steps", minimum=MIN_STEPS, maximum=40, step=1, value=28)
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seed = gr.Number(label="Seed", value=42, precision=0)
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with gr.Accordion("Settings file", open=False):
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gr.Markdown(SETTINGS_HELP)
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save = gr.Button("Save settings to .json", size="sm")
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settings_download = gr.File(label="Your settings", visible=False, interactive=False)
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settings_upload = gr.File(
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label="Load a settings .json", file_types=[".json"], type="filepath"
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)
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with gr.Column():
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result = gr.Video(label="Video + soundtrack")
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# An output, so it can be revealed only for a request that asked for a rewrite.
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@@ -677,11 +615,6 @@ with gr.Blocks(title="MiniMax-H3 Reference Custom Lora") as demo:
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image.change(auto_canvas, image, canvas, show_progress="hidden", api_name=False)
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video.change(auto_canvas, video, canvas, show_progress="hidden", api_name=False)
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# Same order as `SETTINGS_KEYS`.
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settings_fields = [prompt, upsample, canvas, match, duration, steps, seed]
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save.click(save_settings, settings_fields, settings_download, api_name=False)
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settings_upload.upload(load_settings, settings_upload, settings_fields, api_name=False)
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# Same order as `generate`'s signature: the five leading columns first, then the remaining image slots.
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request = [
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prompt, images[0], audio, video, canvas, *images[1:], match, duration, steps, seed, upsample
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]
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MIN_STEPS = 4
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# Seconds of GPU one request needs, from the packed sequence it is about to denoise: linear in the rows for the
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# matmuls, quadratic for the attention, against the AoTI block package this Space runs.
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STEP_LINEAR, STEP_QUADRATIC, SAFETY = 1.1745e-4, 3.8396e-9, 1.3
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)
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return path, refined, gr.update(visible=bool(refined))
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load_models()
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INTRO = """# MiniMax-H3 Reference
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steps = gr.Slider(label="Steps", minimum=MIN_STEPS, maximum=40, step=1, value=28)
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seed = gr.Number(label="Seed", value=42, precision=0)
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with gr.Column():
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result = gr.Video(label="Video + soundtrack")
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# An output, so it can be revealed only for a request that asked for a rewrite.
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image.change(auto_canvas, image, canvas, show_progress="hidden", api_name=False)
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video.change(auto_canvas, video, canvas, show_progress="hidden", api_name=False)
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request = [
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prompt, images[0], audio, video, canvas, *images[1:], match, duration, steps, seed, upsample
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]
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