# Pictorian Conquest ## Campaign Overview **Pictorian Conquest** is a special campaign during our Mainnet where you can grind harder and earn bigger. Complete extra tasks, climb the leaderboard, and grab your share of the **20,000-point reward pool** *(your chance to earn more and faster than ever😉)* Pictorians — it’s time to conquer! {% hint style="info" %} **Important Information**: 1. 🌐 **Campaign page**: 2. 📅 **Duration**: From Oct 17 to Nov 15, 2025 (UTC) 3. **🏆 Leaderboard & Rewards**: The **top 100 users** will split a Reward Pool of **20,000 points**, based on final ranking. {% endhint %} ## Reward Distribution At the end of the campaign, the **top 100 users** will share a reward pool of **20,000 points** based on their final ranks, so every point counts. Here’s how the rewards are distributed:

🏆 Rank	💰 Reward per User (points)
#1	1,200
#2–5	700
#6–15	400
#16–50	200
#51–100	100

## How to Participate Getting started is easy, just follow the steps below: **Step 1: Sign Up**\ Visit the [app.pictor.network](http://app.pictor.network/), and choose to: * **Sign in with Google:** An Aptos keyless wallet will be created automatically for you. * **Connect the Aptos Petra wallet** to sign in directly. {% hint style="warning" %} **Important Notes**: 1. Your Aptos keyless wallet is directly linked to the Google account you use to sign in. If you lose access to your Google account, you will also lose access to this keyless wallet. 2. To keep the keyless wallet secure, we strongly recommend **enabling Two-Factor Authentication** (2FA) on your Google account. {% endhint %} **Step 2: Start Earning Points** Complete **role-specific tasks** to begin earning: * **Creators:** Claim free credits or buy credits to submit jobs and earn points for every successfully rendered job. * **Workers:** Earn points based on the tasks you’ve rendered and your Worker Nodes’ total online time. Plus, join **additional activities** to boost your score: * AMA Lucky Draw * Meme & Viral Weekly Contest **Step 3: Track Your Earnings** Check your points and rank directly on the Pictorian Conquest leaderboard. ## Task Details ### 1. Render 3D Follow this [detailed tutorial](https://docs.pictor.network/docs/services/3d-rendering/get-started) to get started. {% hint style="info" %} **Important Notes:** 1. **Free Credit**: To claim free credit from the daily check-ins, you will need APT (mainnet) to cover the transaction fee. 2. **Point Formula**: Render Cost \* 2.2 {% endhint %} ### 2. Provide GPUs #### **2.1 Supported GPUs** Please check if your GPU is supported before jumping into the detailed tutorial.

NVIDIA

GPU Model	Performance Multiplier (24h)
NVIDIA RTX PRO 6000 Blackwell Workstation Edition	11.5436
NVIDIA RTX PRO 6000 X Blackwell Generation	11.3564
NVIDIA GeForce RTX 5090	10.6878
NVIDIA GeForce RTX 5090 D	10.6466
NVIDIA GeForce RTX 4090	8.4265
NVIDIA RTX 6000 Ada Generation	7.621
NVIDIA GeForce RTX 4090 D	7.5827
NVIDIA GeForce RTX 5080	6.497
NVIDIA GeForce RTX 4080	6.2666
NVIDIA L40S	6.2016
NVIDIA GeForce RTX 4080 SUPER	5.9994
NVIDIA GeForce RTX 5090 Laptop GPU	5.6773
NVIDIA RTX 5000 Ada Generation	5.4844
NVIDIA RTX6000-Ada-12Q	5.4058
NVIDIA GeForce RTX 5070 Ti	5.3779
NVIDIA GeForce RTX 4090 Laptop GPU	5.0771
NVIDIA GeForce RTX 4070 Ti SUPER	5.0377
NVIDIA GeForce RTX 5080 Laptop GPU	4.8868
NVIDIA GeForce RTX 4070 Ti	4.7902
NVIDIA GeForce RTX 5070	4.3925
NVIDIA GeForce RTX 4070 SUPER	4.3719
NVIDIA GeForce RTX 3090 Ti	4.2985
NVIDIA GeForce RTX 3090	4.1984
NVIDIA GeForce RTX 3080 Ti	3.9898
NVIDIA RTX 5000 Ada Generation Laptop GPU	3.9254
NVIDIA RTX 4500 Ada Generation	3.9147
NVIDIA GeForce RTX 4080 Laptop GPU	3.9039
NVIDIA GeForce RTX 4070	3.8699
NVIDIA RTX A6000	3.7526
NVIDIA GeForce RTX 5070 Ti Laptop GPU	3.6737
NVIDIA RTX A5500	3.5407
NVIDIA RTX 4000 Ada Generation Laptop GPU	3.4787
NVIDIA GeForce RTX 3080	3.458
NVIDIA RTX A5000	3.3374
NVIDIA RTX 4000 Ada Generation	3.148
NVIDIA GeForce RTX 5060 Ti	3.1021
NVIDIA RTX 3500 Ada Generation Laptop GPU	3.068
NVIDIA RTX 4000 SFF Ada Generation	2.9268
NVIDIA GeForce RTX 5070 Laptop GPU	2.9094
NVIDIA RTX A4500	2.8781
NVIDIA A40	2.8579
NVIDIA GeForce RTX 4060 Ti	2.721
NVIDIA GeForce RTX 3070 Ti	2.6927
NVIDIA GeForce RTX 5060	2.624
NVIDIA GeForce RTX 4070 Laptop GPU	2.5588
NVIDIA GeForce RTX 5060 Laptop GPU	2.5548
NVIDIA GeForce RTX 3080 Ti Laptop GPU	2.4997
NVIDIA GeForce RTX 3070	2.4294
NVIDIA L4-12Q	2.3985
NVIDIA L4	2.383
NVIDIA GeForce RTX 4060 Laptop GPU	2.3673
NVIDIA GeForce RTX 3080 Laptop GPU	2.3558
NVIDIA TITAN RTX	2.2957
NVIDIA A10G	2.2868
NVIDIA RTX A4000	2.2647
NVIDIA RTX A5500 Laptop GPU	2.2611
NVIDIA GeForce RTX 3070 Ti Laptop GPU	2.2376
NVIDIA GeForce RTX 4060	2.2224
NVIDIA GeForce RTX 2080 Ti	2.1866
NVIDIA GeForce RTX 3060 Ti	2.1546
NVIDIA GeForce RTX 3070 Laptop GPU	2.1448
NVIDIA RTX A5000 Laptop GPU	2.1341
NVIDIA RTX 3000 Ada Generation Laptop GPU	2.0911
NVIDIA Quadro RTX 6000	2.0895
NVIDIA Quadro RTX 8000	2.0287
NVIDIA RTX 2000 Ada Generation	1.8884
NVIDIA GeForce RTX 4050 Laptop GPU	1.8378
NVIDIA RTX 2000 Ada Generation Laptop GPU	1.7756
NVIDIA GeForce RTX 2080 SUPER	1.7124
NVIDIA GeForce RTX 2070 SUPER	1.697
NVIDIA GeForce RTX 3060 Laptop GPU	1.6851
NVIDIA GeForce RTX 3060	1.6793
NVIDIA GeForce RTX 2080	1.6743
NVIDIA RTX A4500 Laptop GPU	1.6577
NVIDIA Tesla V100-SXM2-16GB	1.6171
NVIDIA GeForce RTX 2060 SUPER	1.5927
NVIDIA GeForce RTX 2070	1.5805
NVIDIA Quadro RTX 4000	1.5598
NVIDIA RTX A3000 12GB Laptop GPU	1.5433
NVIDIA RTX 1000 Ada Generation Laptop GPU	1.5316
NVIDIA Quadro RTX 5000	1.5123
NVIDIA RTX A3000 Laptop GPU	1.4262
NVIDIA GeForce RTX 2070 Super with Max-Q Design	1.322
NVIDIA GeForce RTX 2080 Super with Max-Q Design	1.3216
NVIDIA TITAN V	1.3138
NVIDIA RTX A2000 12GB	1.3133
NVIDIA GeForce RTX 2070 with Max-Q Design	1.2848
NVIDIA GeForce RTX 2060	1.1703
NVIDIA RTX 500 Ada Generation Laptop GPU	1.1641
NVIDIA GeForce RTX 2080 with Max-Q Design	1.1225
NVIDIA Quadro RTX 3000	1.1097
NVIDIA Quadro RTX 5000 with Max-Q Design	1.1013
NVIDIA GeForce RTX 3050	1.0757
NVIDIA Tesla T4	1.0312
NVIDIA GeForce RTX 2060 with Max-Q Design	1.004
NVIDIA GeForce RTX 3050 OEM	0.997
NVIDIA GeForce RTX 3050 Ti Laptop GPU	0.9553
NVIDIA RTX A2000 8GB Laptop GPU	0.9219
NVIDIA RTX A2000 Laptop GPU	0.8808
NVIDIA CMP 40HX	0.8484
NVIDIA GeForce RTX 3050 Laptop GPU	0.844
NVIDIA GeForce RTX 3050 6GB Laptop GPU	0.8147
NVIDIA RTX A1000 6GB Laptop GPU	0.7197
NVIDIA TITAN Xp	0.677
NVIDIA GeForce GTX 1080 Ti	0.6161
NVIDIA TITAN X (Pascal)	0.5975
NVIDIA P102-100	0.5939
NVIDIA GeForce GTX 1660 Ti	0.5747
NVIDIA Tesla P40	0.5649
NVIDIA GeForce GTX 1660 SUPER	0.5586
NVIDIA Quadro P6000	0.5564
NVIDIA GeForce GTX 1660 Ti with Max-Q Design	0.5454
NVIDIA GeForce RTX 2050	0.5347
NVIDIA GeForce GTX 1660	0.5169
NVIDIA GeForce RTX 3050 4GB Laptop GPU	0.4967
NVIDIA GeForce GTX 1070 Ti	0.4513
NVIDIA P104-100	0.4419
NVIDIA GeForce GTX 1080	0.433
NVIDIA Quadro P5200	0.407
NVIDIA GeForce GTX 1070	0.4002
NVIDIA GeForce GTX TITAN X	0.3977
NVIDIA GeForce GTX 1650 SUPER	0.3964
NVIDIA Quadro P5000	0.3869

AMD

GPU Model	Performance Multiplier (24h)
AMD Radeon RX 7900 XTX	2.8573
AMD Radeon PRO W7900	2.5522
AMD Radeon RX 7900 XT	2.5212
AMD Radeon RX 9070 XT	2.2173
AMD Radeon RX 7900 GRE	1.9887
AMD Radeon RX 6950 XT	1.9687
AMD Radeon RX 9070	1.9466
AMD Radeon PRO W7800	1.8566
AMD Radeon RX 6900 XT	1.835
AMD Radeon RX 6800 XT	1.765
AMD Radeon RX 7800 XT	1.7256
AMD Radeon RX 7700 XT	1.4945
AMD Radeon RX 6800	1.3667
AMD Radeon PRO W6800	1.2831
AMD Radeon RX 6750 XT	1.1516
AMD Radeon RX 9060 XT	1.1255
AMD Radeon RX 6700 XT	1.0853
AMD Radeon RX 6800M	0.9993
AMD Radeon RX 7600	0.9245
AMD Radeon RX 7600 XT	0.9155
AMD Radeon PRO W7600	0.8768
AMD Radeon RX 7700S	0.8173
AMD Radeon RX 6650 XT	0.8162
AMD Radeon RX 6600 XT	0.7819
AMD Radeon RX 7600M XT	0.7507
AMD Radeon RX 7600S	0.7435
AMD Radeon RX 5700 XT	0.7085
AMD Radeon RX 6600	0.7017
AMD Radeon RX 6600M	0.6368
AMD Radeon RX 5700	0.6303
AMD Radeon RX 5600M Series	0.438
AMD Radeon RX 5600 XT	0.4368
AMD Radeon Pro W5500	0.3567
AMD Radeon RX 6500 XT	0.3159

{% hint style="warning" %} **Notes:** * **Performance Multiplier (P)**: Each GPU has a different Performance Multiplier (24h). The more powerful your GPU, the higher the multiplier, meaning more points per hour of online time. * The list of supported GPUs may change based on performance, stability, or network conditions. {% endhint %} #### **2.2 Step-by-step Guide** Follow this [detailed tutorial](https://docs.pictor.network/docs/gpu-providers/workers/get-started) to get started. #### **2.3 Point Breakdown**

Task	Point
Render: Install, run the Worker app, and render assigned tasks	{\footnotesize \displaystyle\frac{\text{Completed Tasks} * \text{Render Cost} * 4}{\text{Job's Total Tasks}} }
Online: Install and turn on the Worker app, but do not render tasks	{\footnotesize \displaystyle\frac{O * P}{24} }

Task

Point

Render:

Install, run the Worker app, and render assigned tasks

{\footnotesize \displaystyle\frac{\text{Completed Tasks} * \text{Render Cost} * 4}{\text{Job's Total Tasks}} }

Online:

Install and turn on the Worker app, but do not render tasks

{\footnotesize \displaystyle\frac{O * P}{24} }

{% hint style="info" %} 🔷 **Formula Symbols Explanation** **O: Online Time -** Time that the Worker Node is online, but does not render tasks. **P: Performance Multiplier -** Based on your GPU’s Blender benchmark score. 🔷 **Example** Let’s say you have a dual-GPU device: * An `RTX 3070` with a Performance Multiplier (P) of `2.4294`. * An `RTX 5090` with a Performance Multiplier (P) of `10.6878`. You spent: * 6 hours online, but not rendering, `O = 6` Your points for that session are: `Points = 6 * (2.4294 + 10.6878) / 24 =`` `**`3.2793`** {% endhint %} ### **3.** AMA Lucky Draw Join Pictor Network’s AMA sessions and submit your questions to the team. In each AMA, 5 selected questions will be answered live during the session, and the users who asked them will receive **100 points each.** {% hint style="info" %} **Note**: * Reward pool: up to 2,000 points * Points will be manually added to your Pictor account after the AMA. {% endhint %} 📢 Follow Pictor Network [X](https://x.com/pictor_network)・[Telegram](https://t.me/pictor_channel)・[Discord](https://discord.gg/5RHMK9xF4x) channels to stay updated on our upcoming AMA announcements. ### 4. Meme & Viral Weekly Contest Create **memes, short videos, or community posts** to share your experience with **Pictor Network** — whether it’s funny, inspiring, or just something that shows your experience. Every week, the Pictor team will review all submissions and: * Select **30** valid submissions, each earning **60 points**. * Reward the **Top 3 creative submissions** with:\ 🥇 Top 1: 100 points\ 🥈 Top 2: 60 points\ 🥉 Top 3: 40 points {% hint style="info" %} **Note**: * Reward pool: up to 8,000 points * Points will be manually added to your Pictor account after each week. {% endhint %} 📢 Follow Pictor Network [X](https://x.com/pictor_network)・[Telegram](https://t.me/pictor_channel)・[Discord](https://discord.gg/5RHMK9xF4x) channels to stay updated on our upcoming Contest announcements. ## Rules Participants are strictly prohibited from using bots, scripts, hacks, or any tools to cheat or manipulate the system. Anyone found faking activity, exploiting bugs, or attempting to gain an unfair advantage will be immediately disqualified, will forfeit all current and future rewards, and will be permanently banned from Pictor Network. ## Disclaimer 1. **Activity Auditing:** The Pictor team reserves the right to **review and audit** user activity at any time.\ Suspicious behavior, abuse, or violation of campaign rules may result in the removal of points and rewards or an account ban. 2. **Terms:** Pictor may update the campaign terms at any time, such as task types, point & reward calculations. Please follow official Pictor channels to stay informed and avoid missing important updates. 3. **Final Decisions:** All decisions related to the campaign, including task validation, reward adjustments, rule interpretations, and dispute resolutions, are at the sole discretion of the Pictor team and are considered final. 4. **Security:** For your safety, **never share your private key or seed phrase** with anyone. The Pictor team will **never DM you first** under any circumstances. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.pictor.network/docs/campaign/pictorian-conquest.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.