I can provide specific troubleshooting steps or template guidelines for your project. Share public link
Before diving into the how-to, it's important to understand what exactly you can upload. The Graal era upload system supports several distinct categories, each with its own rules and costs:
Era utilizes a specific aesthetic that mixes classic 16-bit RPG styles with modern streetwear. Use pillow shading or hue shifting to give your customs depth so they match the environment.
Accessories like small bandanas, earrings, piercings, pacifiers, and simple ties are allowed. However, hats and glasses are not permitted on head uploads—those must be obtained as separate in-game items. Editing or reuploading staff-exclusive heads is also forbidden. Head frames must be clean, with no cut frames, stray pixels, or broken animations.
You cannot make your character entirely invisible to gain a competitive edge in PK (Player Killing) zones. 📐 Template Dimensions and Specifications
| Upload Type | Cost in Gralats | |-------------|-----------------| | Head | 20,000 Gralats | | Body | 10,000 Gralats | | Shield Code | 2,500 Gralats | | Gang Picture | Free (gang ownership required) |
Gang pictures must avoid vulgar, racist, political, or drug-related images. Gifs are not allowed, nor are social media tags or advertising of any kind. Inappropriate gang picture uploads can result in warnings, gang removal, or permanent bans for the gang owner.
# Create the Lambda function using the 'provided.al2023' custom runtime aws lambda create-function --function-name my-native-java-app \ --runtime provided.al2023 \ --role arn:aws:iam::123456789012:role/lambda-execution-role \ --handler bootstrap \ --zip-file fileb://function.zip
To keep the game fair and immersive, the staff enforces a strict approval process. Every single item you submit is reviewed by a human moderator before it appears in-game. Step-by-Step Guide to Uploading Customs in Graal Era
This is arguably the most impactful use case. Serverless platforms like , Google Cloud Functions , and Azure Functions are billed per invocation and are sensitive to cold start latency. A native image can start in milliseconds, compared to the multi-second delays often seen with standard JVM runtimes, leading to lower costs and a vastly improved user experience.