luboslenco
131 lines
3.6 KiB
Haxe
131 lines
3.6 KiB
Haxe
package arm.logic;
|
|
|
|
import zui.Nodes;
|
|
import arm.logic.LogicNode;
|
|
import arm.logic.LogicParser.f32;
|
|
import arm.Translator._tr;
|
|
|
|
@:keep
|
|
class VarianceNode extends LogicNode {
|
|
|
|
static var temp: kha.Image = null;
|
|
static var image: kha.Image = null;
|
|
static var inst: VarianceNode = null;
|
|
static var prompt = "";
|
|
|
|
public function new(tree: LogicTree) {
|
|
super(tree);
|
|
|
|
inst = this;
|
|
|
|
init();
|
|
}
|
|
|
|
public static function init() {
|
|
if (temp == null) {
|
|
temp = kha.Image.createRenderTarget(512, 512);
|
|
}
|
|
}
|
|
|
|
public static function buttons(ui: zui.Zui, nodes: zui.Nodes, node: zui.Nodes.TNode) {
|
|
prompt = zui.Ext.textArea(ui, zui.Zui.handle("variancenode_0"), true, tr("prompt"), true);
|
|
node.buttons[0].height = prompt.split("\n").length;
|
|
}
|
|
|
|
override function getAsImage(from: Int, done: kha.Image->Void) {
|
|
var strength = untyped inst.inputs[1].node.value;
|
|
|
|
inst.inputs[0].getAsImage(function(source: kha.Image) {
|
|
temp.g2.begin(false);
|
|
temp.g2.drawScaledImage(source, 0, 0, 512, 512);
|
|
temp.g2.end();
|
|
|
|
var bytes_img = untyped temp.getPixels().b.buffer;
|
|
var u8 = new js.lib.Uint8Array(untyped bytes_img);
|
|
var f32 = new js.lib.Float32Array(3 * 512 * 512);
|
|
for (i in 0...(512 * 512)) {
|
|
f32[i ] = (u8[i * 4 ] / 255) * 2.0 - 1.0;
|
|
f32[i + 512 * 512 ] = (u8[i * 4 + 1] / 255) * 2.0 - 1.0;
|
|
f32[i + 512 * 512 * 2] = (u8[i * 4 + 2] / 255) * 2.0 - 1.0;
|
|
}
|
|
|
|
Console.progress(tr("Processing") + " - " + tr("Variance"));
|
|
App.notifyOnNextFrame(function() {
|
|
kha.Assets.loadBlobFromPath("data/models/sd_vae_encoder.quant.onnx", function(vae_encoder_blob: kha.Blob) {
|
|
var latents_buf = Krom.mlInference(untyped vae_encoder_blob.toBytes().b.buffer, [f32.buffer], [[1, 3, 512, 512]], [1, 4, 64, 64], Config.raw.gpu_inference);
|
|
var latents = new js.lib.Float32Array(latents_buf);
|
|
for (i in 0...latents.length) {
|
|
latents[i] = 0.18215 * latents[i];
|
|
}
|
|
|
|
var noise = new js.lib.Float32Array(latents.length);
|
|
for (i in 0...noise.length) noise[i] = Math.cos(2.0 * 3.14 * RandomNode.getFloat()) * Math.sqrt(-2.0 * Math.log(RandomNode.getFloat()));
|
|
var num_inference_steps = 50;
|
|
var init_timestep = Std.int(num_inference_steps * strength);
|
|
var timesteps = @:privateAccess TextToPhotoNode.timesteps[num_inference_steps - init_timestep];
|
|
var alphas_cumprod = @:privateAccess TextToPhotoNode.alphas_cumprod;
|
|
var sqrt_alpha_prod = Math.pow(alphas_cumprod[timesteps], 0.5);
|
|
var sqrt_one_minus_alpha_prod = Math.pow(1.0 - alphas_cumprod[timesteps], 0.5);
|
|
for (i in 0...latents.length) {
|
|
latents[i] = sqrt_alpha_prod * latents[i] + sqrt_one_minus_alpha_prod * noise[i];
|
|
}
|
|
var t_start = num_inference_steps - init_timestep;
|
|
|
|
TextToPhotoNode.stableDiffusion(prompt, function(_image: kha.Image) {
|
|
image = _image;
|
|
done(image);
|
|
}, latents, t_start);
|
|
});
|
|
});
|
|
});
|
|
}
|
|
|
|
override public function getCachedImage(): kha.Image {
|
|
return image;
|
|
}
|
|
|
|
public static var def: TNode = {
|
|
id: 0,
|
|
name: _tr("Variance"),
|
|
type: "VarianceNode",
|
|
x: 0,
|
|
y: 0,
|
|
color: 0xff4982a0,
|
|
inputs: [
|
|
{
|
|
id: 0,
|
|
node_id: 0,
|
|
name: _tr("Color"),
|
|
type: "RGBA",
|
|
color: 0xffc7c729,
|
|
default_value: f32([0.0, 0.0, 0.0, 1.0])
|
|
},
|
|
{
|
|
id: 0,
|
|
node_id: 0,
|
|
name: _tr("Strength"),
|
|
type: "VALUE",
|
|
color: 0xffa1a1a1,
|
|
default_value: 0.5
|
|
}
|
|
],
|
|
outputs: [
|
|
{
|
|
id: 0,
|
|
node_id: 0,
|
|
name: _tr("Color"),
|
|
type: "RGBA",
|
|
color: 0xffc7c729,
|
|
default_value: f32([0.0, 0.0, 0.0, 1.0])
|
|
}
|
|
],
|
|
buttons: [
|
|
{
|
|
name: "arm.logic.VarianceNode.buttons",
|
|
type: "CUSTOM",
|
|
height: 1
|
|
}
|
|
]
|
|
};
|
|
}
|