Select Sum from two joined tables There are structures:

CREATE TABLE `invoices` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`date` date NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB;

INSERT INTO `invoices` VALUES (1,'2018-09-22');

CREATE TABLE `products` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`invoice_id` int(10) unsigned NOT NULL,
`amount` decimal(10,2) unsigned NOT NULL,
`quantity` smallint(5) unsigned NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB;

INSERT INTO `products` VALUES (1,1,150.00,2),(2,1,60.00,3),(3,1,50.00,1);

CREATE TABLE `payments` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`invoice_id` int(10) unsigned NOT NULL,
`amount` decimal(10,2) unsigned NOT NULL,
`date` date NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB;

INSERT INTO `payments` VALUES (1,1,400.00,'2018-09-23'),(2,1,80.00,'2018-09-23');


I have this query: 

select i.id, sum(pr.amount * pr.quantity) as productAmount, 
sum(pm.amount) as paymentAmount
from invoices as i
left join products as pr on pr.invoice_id=i.id
left join payments as pm on pm.invoice_id=i.id
group by i.id


and have this result:

+----+---------------+---------------+
| id | productAmount | paymentAmount |
+----+---------------+---------------+
|  1 |       1060.00 |       1440.00 |
+----+---------------+---------------+
1 row in set (0,00 sec)


However, I want to get the following result:

+----+---------------+---------------+
| id | productAmount | paymentAmount |
+----+---------------+---------------+
|  1 |        530.00 |        480.00 |
+----+---------------+---------------+
1 row in set (0,00 sec)


I want sum amount of products and sum amount of payments grouped by invoice.id.
What should be the query in this case?
By the addition join on payments, of which there are two, the productAmount got doubled:

select i.id, sum(distinct pr.amount * pr.quantity) as productAmount, 
sum(distinct pm.amount) as paymentAmount
from invoices as i
join products as pr on pr.invoice_id=i.id
join payments as pm on pm.invoice_id=i.id
group by i.id;


Also replaced LEFT JOIN with JOIN as you don't care about non-matching entries.