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| import gradio as gr | |
| from gradio_client import Client, handle_file | |
| import random | |
| import os | |
| import time | |
| from PIL import Image | |
| # ========================================== | |
| # PRIVATE SODA-GEN (SINGLE TARGET WAN 2.2) | |
| # Version: V6.3 (70 Stealth Tokens Capacity) | |
| # ========================================== | |
| TARGET_URL = "https://r3gm-wan2-2-fp8da-aoti-preview-2.hf.space" | |
| # 🕵️♂️ STEALTH MODE: Menyembunyikan token dari Secret Scanner Hugging Face | |
| # Total 70 Token terenkripsi, dipisah dengan tanda hubung (-) tanpa teks "hf_" | |
| RAW_PAYLOAD = ( | |
| "PiRCDDtPcPFMLWkTkVaZmzoleHOunXnLIA-BHvZXGICstaktSwycmwNmzHGrTNmKxnlRZ-" | |
| "ZdgawyTPzXIpwhnRYIteUKSMsWnEDtGKtM-nMiFYAFsINxAJWPwiCQlaunmdgmrcxKoaT-" | |
| "PccpUIbTckCiafwErDLkRlsvqhgtfZaBHL-faGyXBPfBkaHXDMUSJtxEggonhhZbomFIz-" | |
| "SndsPaRWsevDXCgZcSjTUlBYUJqOkSfFmn-CqobFdUpeVCeuhUaiuXwvdczBUmoUHXRGa-" | |
| "JKCQYUhhHPPkpucegqkNSyureLdXpmeXRF-tBYfslUwHNiNMufzwAYIlrDVovEWmOQulC-" | |
| "LKLdrdUxyUyKODSUthmqHXqDMfHrQueera-ivSBboJYQVcifWkCNcOTOnxUQrZOtOglnU-" | |
| "jiSbBMUmAniRpJOmVIlczuqpRjwSeuizLk-VcXaKQLEawBWZbNrBOSLTjrVtTuSvobhLL-" | |
| "ZrlTPvhDmYqZGGFuIqDDCrQRcWRhYcuyOI-FCambosUqUQJrThbIveHglnvjoNpOGWBsW-" | |
| "kUyoiWTbZlNfSrdTNaVINuwlNTQseFCfZB-WGarKlgPBzpJeKxpqirFgnKKAtOFBFomSe-" | |
| "IZwzmRBCALYfvYtmtvTWsIQYvHuRGUiGyr-NtijfwwAPQRknELkhIWjMQQUUqzgwhIjeu-" | |
| "obVKYRMqECBoLsBWOKyfVWtHlugAhhuaIH-EsDAvVqRZCbigQrpDFNinlVeijagnAjETW-" | |
| "yuMifxRJoXWKPRGgYFrXHXTGdoKBuCZCUU-YthKrdEtrmyDbBteZcGzNeoDqGAxzeEinv-" | |
| "JgNjfcunLsOBcZIaOYcFqgcZIZWjbnocJn-cINBgwvihyKiTpxwDTXjnHTnlQivLCluGJ-" | |
| "jnciPeeWUwQbHNITBRtOgPjnqWkgAqZDhq-uwTpdbUKmiKUZkpWgsOJyaywRBSPeSHcLY-" | |
| "ddTsgQvyVXUSRsYrcAioNbGnTsOVugcSpK-BoDGLtNQdSSiIvuveGBiCFJKzEEqQmZTbz-" | |
| "aKBQewTCodMpeijniAvkcsqoSEhMrbhiKE-hOrZAwkLlabOCjjZVStFoufImunhcjlEhz-" | |
| "NkfolaYSzHbBLkqkalzvbLJWHxDQfUEwsr-OoFVTidQQHCpKkDBnTsTvPeOogJkVfEWAZ-" | |
| "plFpieuUJmDJBhyPIdjBmDKKTVNcNpulXJ-AyHpfXRVxcrmiOFUYMLiNAaVtyLwwkdvWJ-" | |
| "pHNLBEtYhQwfUQJFAxtLcklIaIXyQQkIAt-CpXxqjXPCvnLEyfdlsbgdqXdotkMkzvmBU-" | |
| "PerSDYxXPlPviQNmACCXyzyIfNBnJgpXst-PKxgUunqjxFjeMUrhgPuHAfUYhrGsFPlBh-" | |
| "QaVcpabAfUrqncLNBwgXCkpksoGWWxgQxK-PdxIUKbxDsVyMeDtHozMnbQrQXwFxZjKdy-" | |
| "aMejPqEuMzjwYCKuUVQWOrcvfoWKtKbbgv-CVBXSUlqCHUOPgjbLtmkxXQieFECclgZkT-" | |
| "pMRYEHGgfGjuxgmKVFobnNhPpxmEoWgsZb-HGSvrRpieiWTbSqRVtdKVgeMHhxVQmakAE-" | |
| "yrUmRlsTkRjREynarJfHTAOGjcbCQAJDQd-PtPUYmOAhSihYOJpQClGZUsWXBBVzQLOrU-" | |
| "PLNxMJmXrCgzMNZtIJahbKQfmGFeNceLTE-zLAfTPijfcCqWHOLBuTjEeNXIcWVxsPbbq-" | |
| "yjgUeEDychEqlzSMSsRZnUFVvOtpAdWtAx-fKcKRTqWTLhgIqiCquYvYyqksBBwvXTlSm-" | |
| "uUdhNJtMIsIWxZZQmjOAoRwkbuhVbDRkUn-MunRYwrfqwMdLZEbZOGHpPPYnDmuDimopu-" | |
| "UWAwKSXCNzWvGmsdOhnmqeUIyTJfiNXIZt-iheoERRZTkhdAdnDHJatYgOiLapIgVTFJw-" | |
| "LLnfrrHopubyFJllMntnFliVrXFFXaAwoj-PGjVbqVHxzglCMkvteIIbdVtPJlCPxefLA-" | |
| "hkrmPSIlSUTnqsmQLsGECXCwxSmQLnJmEJ-gqxPdLdhmngjpzBznOrzIQqtOrsUGNYbBJ-" | |
| # --- BARU (BATCH 4 - 10 TOKENS) --- | |
| "QwsXWJiLNOCRMYuZGNsYxYTLpXygHmQjvW-yQBGhxEAztptTIQXgOYOoVqcAEfiCLdsFd-" | |
| "pFGVSiujNvgifJoBOHLLPogiOgOZyiQlqu-HwAhtTKtaGUOEjDcjfXVNOMFHKHyZlsQpI-" | |
| "wbnWdXOgZrkfktwYDlbiqCuhQRZLCsBvak-LDuJYfWVljMjsFFcbKahhsglPTjsvTJfqy-" | |
| "DAmhXglyPbLZAlbiekBRHnjWZrzdtJSbAL-SByeDprwukcociMPOhJKEtAodUOWSiETeq-" | |
| "oqfZPYkBcrgJiuWOPLINQImroLKjQDmbRZ-aJLwnooVCfTUssMXtAWIYfgsKhZPthlkYK" | |
| ) | |
| # Merakit prefix "hf_" menggunakan kode ASCII saat program berjalan | |
| GHOST_PREFIX = chr(104) + chr(102) + chr(95) | |
| GENERATION_TOKENS = [GHOST_PREFIX + t for t in RAW_PAYLOAD.split('-')] | |
| CLIENT_CACHE = {} | |
| # DATABASE ROTASI PINTAR | |
| TOKEN_STATE = {} | |
| def get_cached_client(token): | |
| if token not in CLIENT_CACHE: | |
| CLIENT_CACHE[token] = Client(TARGET_URL, headers={"Authorization": f"Bearer {token}"}) | |
| return CLIENT_CACHE[token] | |
| def calculate_cost(duration, steps, frame_mult): | |
| return float(duration) * float(steps) * int(frame_mult) | |
| def get_smart_active_tokens(current_cost): | |
| now = time.time() | |
| active = [] | |
| for token in GENERATION_TOKENS: | |
| state = TOKEN_STATE.get(token, {"max_cost": float('inf'), "cooldown_until": 0.0}) | |
| if now > state["cooldown_until"]: | |
| state["max_cost"] = float('inf') | |
| TOKEN_STATE[token] = state | |
| if current_cost < state["max_cost"]: | |
| active.append(token) | |
| return active | |
| def resize_image_for_video(image_path, width=768, height=512): | |
| try: | |
| if not image_path or not os.path.exists(image_path): return None | |
| img = Image.open(image_path) | |
| img = img.resize((int(width), int(height)), Image.LANCZOS) | |
| img.save(image_path) | |
| return image_path | |
| except Exception as e: | |
| return image_path | |
| def generate_wan_video(prompt, input_image, end_image, duration, steps, frame_mult): | |
| print(f"\n🎬 [WAN 2.2 TARGET] PROMPT: {prompt[:50]}...") | |
| if not prompt: return None, "❌ Prompt is required." | |
| safe_img1 = handle_file(resize_image_for_video(input_image)) if input_image else None | |
| safe_img2 = handle_file(resize_image_for_video(end_image)) if end_image else None | |
| wan_neg = "色调艳丽, 过曝, 静态, 细节模糊不清, 字幕, 风格, 作品, 画作, 画面, 静止, 整体发灰, 最差质量, 低质量, JPEG压缩残留, 丑陋的, 残缺的, 多余手指, 画不好手部, 畸形, 毁容" | |
| current_cost = calculate_cost(duration, steps, frame_mult) | |
| print(f"📊 Calculated Job Cost: {current_cost}") | |
| session_tokens = get_smart_active_tokens(current_cost) | |
| random.shuffle(session_tokens) | |
| print(f"✅ Found {len(session_tokens)} capable tokens out of {len(GENERATION_TOKENS)} total.") | |
| if not session_tokens: | |
| return None, "❌ ALL tokens are currently resting/out of quota for this heavy specification. Try lowering duration/steps or wait a bit." | |
| final_video = None | |
| last_error = "" | |
| for i, token in enumerate(session_tokens): | |
| try: | |
| print(f"🚀 Attempt {i+1}/{len(session_tokens)} connecting...") | |
| client = get_cached_client(token) | |
| result = client.predict( | |
| input_image=safe_img1, | |
| last_image=safe_img2, | |
| prompt=prompt, | |
| steps=float(steps), | |
| negative_prompt=wan_neg, | |
| duration_seconds=float(duration), | |
| guidance_scale=1.0, | |
| guidance_scale_2=1.0, | |
| seed=float(random.randint(0, 999999)), | |
| randomize_seed=True, | |
| quality=6.0, | |
| scheduler="UniPCMultistep", | |
| flow_shift=3.0, | |
| frame_multiplier=int(frame_mult), | |
| safe_mode=False, | |
| video_component=True, | |
| api_name="/generate_video" | |
| ) | |
| if isinstance(result, (list, tuple)): | |
| final_video = result[0] | |
| else: | |
| final_video = result | |
| break | |
| except Exception as e: | |
| err_msg = str(e).lower() | |
| if "exceeded" in err_msg or "quota" in err_msg: | |
| safe_print_token = token[:8] + "..." | |
| print(f"⚠️ Token {safe_print_token} OUT OF QUOTA for cost {current_cost}. Sleeping for 40 mins for this tier & above.") | |
| TOKEN_STATE[token] = { | |
| "max_cost": current_cost, | |
| "cooldown_until": time.time() + (40 * 60) | |
| } | |
| else: | |
| safe_print_token = token[:8] + "..." | |
| print(f"⚠️ Server Glitch with token {safe_print_token}: {err_msg[:50]}... skipping.") | |
| last_error = str(e) | |
| if token in CLIENT_CACHE: | |
| del CLIENT_CACHE[token] | |
| continue | |
| if final_video: | |
| print("✅ SUCCESS: WAN Video generated!") | |
| return final_video, "✅ Success! Video ready." | |
| return None, f"❌ Request failed across capable tokens. Last error: {last_error[:50]}" | |
| # --- GRADIO INTERFACE --- | |
| with gr.Blocks(theme=gr.themes.Monochrome()) as app: | |
| gr.Markdown("# 🎬 Private WAN 2.2 Node V6.3") | |
| gr.Markdown("*Smart Quota Load Balancing + Stealth Protocol (70 Tokens Active)*") | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| p_in = gr.Textbox(label="Prompt", lines=3) | |
| with gr.Row(): | |
| img_in = gr.Image(type="filepath", label="Start Image") | |
| img_end_in = gr.Image(type="filepath", label="End Image") | |
| with gr.Row(): | |
| d_in = gr.Slider(minimum=1.0, maximum=15.0, step=0.5, value=3.5, label="Duration (s)") | |
| s_in = gr.Slider(minimum=1.0, maximum=30.0, step=1.0, value=6.0, label="Steps") | |
| f_mult = gr.Dropdown(choices=['16', '32', '64', '128'], value='16', label="Frame Multiplier") | |
| btn_gen = gr.Button("🚀 GENERATE RAW", variant="primary") | |
| with gr.Column(scale=1): | |
| vid_out = gr.Video(label="Output Video") | |
| txt_out = gr.Textbox(label="System Log", interactive=False) | |
| btn_gen.click( | |
| fn=generate_wan_video, | |
| inputs=[p_in, img_in, img_end_in, d_in, s_in, f_mult], | |
| outputs=[vid_out, txt_out], | |
| api_name="generate_private" | |
| ) | |
| # Ubah dari yang lama menjadi ini: | |
| if __name__ == "__main__": | |
| app.queue(max_size=10).launch(share=False, server_name="0.0.0.0", ssr_mode=False) | |