feat: initial Freepik AI CLI
Sophisticated Python CLI for generating and manipulating images and video via the Freepik API, built with typer + rich. Commands: - generate-image: text-to-image with 8 models (flux-2-pro, mystic, seedream, etc.) - generate-video: image-to-video with 7 models (kling, minimax, runway, etc.) - generate-icon: text-to-icon in solid/outline/color/flat/sticker styles - upscale-image: 3 modes (precision-v2, precision, creative) + 2x/4x scale - upscale-video: standard/turbo modes - expand-image: outpainting with per-side pixel offsets - relight: AI-controlled relighting (Premium) - style-transfer: artistic style application (Premium) - describe-image: reverse-engineer an image into a prompt - config set/get/show/reset: configuration management Features: Rich Live polling panel, exponential backoff, --wait/--no-wait, auto-timestamped output filenames, streaming download with progress bar, FREEPIK_API_KEY env var support, venv-based setup. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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"""Image and video upscaling API methods."""
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from __future__ import annotations
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from typing import Any, Optional, Tuple
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from freepik_cli.api.client import FreepikClient
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from freepik_cli.api.models import (
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UPSCALE_POST_ENDPOINTS,
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UPSCALE_STATUS_ENDPOINTS,
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VIDEO_UPSCALE_POST_ENDPOINTS,
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VIDEO_UPSCALE_STATUS_ENDPOINT,
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UpscaleMode,
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VideoUpscaleMode,
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get_output_urls,
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get_status,
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get_task_id,
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)
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class UpscaleAPI:
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def __init__(self, client: FreepikClient) -> None:
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self._client = client
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# ------------------------------------------------------------------
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# Image upscaling
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# ------------------------------------------------------------------
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def upscale_image(
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self,
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mode: UpscaleMode,
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image_b64: str,
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scale_factor: Optional[str] = None,
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creativity: Optional[int] = None,
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prompt: Optional[str] = None,
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seed: Optional[int] = None,
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) -> str:
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"""Submit an image upscale task. Returns task_id."""
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payload: dict[str, Any] = {"image": image_b64}
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if scale_factor:
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# Convert "2x" → 2, "4x" → 4
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factor = scale_factor.rstrip("xX")
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try:
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payload["scale_factor"] = int(factor)
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except ValueError:
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payload["scale_factor"] = 2
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if mode == UpscaleMode.CREATIVE:
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if creativity is not None:
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payload["creativity"] = creativity
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if prompt:
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payload["prompt"] = prompt
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if seed is not None:
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payload["seed"] = seed
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endpoint = UPSCALE_POST_ENDPOINTS[mode]
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raw = self._client.post(endpoint, json=payload)
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return get_task_id(raw)
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def upscale_image_status(self, mode: UpscaleMode, task_id: str) -> Tuple[str, dict[str, Any]]:
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endpoint = UPSCALE_STATUS_ENDPOINTS[mode].format(task_id=task_id)
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raw = self._client.get(endpoint)
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return get_status(raw), raw
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# ------------------------------------------------------------------
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# Video upscaling
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# ------------------------------------------------------------------
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def upscale_video(
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self,
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mode: VideoUpscaleMode,
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video_b64: str,
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) -> str:
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"""Submit a video upscale task. Returns task_id."""
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payload: dict[str, Any] = {"video": video_b64}
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endpoint = VIDEO_UPSCALE_POST_ENDPOINTS[mode]
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raw = self._client.post(endpoint, json=payload)
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return get_task_id(raw)
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def upscale_video_status(self, task_id: str) -> Tuple[str, dict[str, Any]]:
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endpoint = VIDEO_UPSCALE_STATUS_ENDPOINT.format(task_id=task_id)
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raw = self._client.get(endpoint)
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return get_status(raw), raw
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def get_output_urls(self, raw: dict[str, Any]) -> list[str]:
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return get_output_urls(raw)
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