Detailed Genshin Impact Character Generator
Diagnosis results Aliza as a Genshin Character
•❅──✧❅【Personal Information】❅✧──❅•
Hair Colour: Cyan
Eye Colour: Pink
Rarity: 4★
Age: Child (10-12)
Nation: Mondstadt
Affiliation: Church of Favonius
•❅──✧❅【Gameplay】❅✧──❅•
Vision: Hydro
Weapon: Hybrid (Bow and Sword)
Role: DPS
•❅──✧❅【Other Characters】❅✧──❅•
Characters on your banner: Childe, Zhongli, and Ganyu
Characters you have voicelines about: Xiangling, Fischl, Jean, Bennett, Keqing, Xinyan, Venti, Albedo, Mona, and Xiao
•❅──✧❅【Passive Talents】❅✧──❅•
Passive Talent 1: Characters shielded have their Movement SPD increased by 10% and their Stamina Consumption decreased by 10%.
Passive Talent 2: Decreases all party members' gliding Stamina Consumption by 20%.
Passive Talent 3: When Perfect Cooking is achieved on an ATK-boosting dish, Aliza has a 12% chance to obtain double the product.
•❅──✧❅【Personal Information】❅✧──❅•
Hair Colour: Cyan
Eye Colour: Pink
Rarity: 4★
Age: Child (10-12)
Nation: Mondstadt
Affiliation: Church of Favonius
•❅──✧❅【Gameplay】❅✧──❅•
Vision: Hydro
Weapon: Hybrid (Bow and Sword)
Role: DPS
•❅──✧❅【Other Characters】❅✧──❅•
Characters on your banner: Childe, Zhongli, and Ganyu
Characters you have voicelines about: Xiangling, Fischl, Jean, Bennett, Keqing, Xinyan, Venti, Albedo, Mona, and Xiao
•❅──✧❅【Passive Talents】❅✧──❅•
Passive Talent 1: Characters shielded have their Movement SPD increased by 10% and their Stamina Consumption decreased by 10%.
Passive Talent 2: Decreases all party members' gliding Stamina Consumption by 20%.
Passive Talent 3: When Perfect Cooking is achieved on an ATK-boosting dish, Aliza has a 12% chance to obtain double the product.
2024/05/24
Inspired by @Ren_ciea's Genshin Impact OC Generator. Includes hair colours, eye colours, Visions, rarity, characters that share a banner and more! Affiliations and mentioned characters are strictly ones that have been shown in-game, not including the beta.
![@placidpaper](https://d2uwvvx3nthmq1.cloudfront.net/qY17VdKexxax1eRJ5lnW/b0MItaEONRSUEng1nFSQ3OP0y1WrG4aj.png)
Name-based diagnosis
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