Files
armorpaint/armorlab/sources/nodes/variance_node.ts
T
2024-07-22 00:14:37 +02:00

145 lines
4.0 KiB
TypeScript

type variance_node_t = {
base?: logic_node_t;
};
let variance_node_temp: image_t = null;
let variance_node_image: image_t = null;
let variance_node_inst: variance_node_t = null;
let variance_node_prompt: string = "";
function variance_node_create(arg: any): variance_node_t {
let n: variance_node_t = {};
n.base = logic_node_create();
n.base.get_as_image = variance_node_get_as_image;
n.base.get_cached_image = variance_node_get_cached_image;
variance_node_inst = n;
variance_node_init();
return n;
}
function variance_node_init() {
if (variance_node_temp == null) {
variance_node_temp = image_create_render_target(512, 512);
}
}
function variance_node_buttons(ui: zui_t, nodes: zui_nodes_t, node: zui_node_t) {
variance_node_prompt = zui_text_area(zui_handle(__ID__), zui_align_t.LEFT, true, tr("prompt"), true);
node.buttons[0].height = string_split(variance_node_prompt, "\n").length;
}
function variance_node_get_as_image(self: variance_node_t, from: i32): image_t {
let strength: f32 = variance_node_inst.base.inputs[1].node.value;
let source: image_t = logic_node_input_get_as_image(variance_node_inst.base.inputs[0]);
g2_begin(variance_node_temp);
g2_draw_scaled_image(source, 0, 0, 512, 512);
g2_end();
let bytes_img = image_get_pixels(variance_node_temp);
let u8a = u8_array_create_from_buffer(bytes_img);
let f32a = f32_array_create(3 * 512 * 512);
for (let i: i32 = 0; i < (512 * 512); ++i) {
f32a[i ] = (u8a[i * 4 ] / 255) * 2.0 - 1.0;
f32a[i + 512 * 512 ] = (u8a[i * 4 + 1] / 255) * 2.0 - 1.0;
f32a[i + 512 * 512 * 2] = (u8a[i * 4 + 2] / 255) * 2.0 - 1.0;
}
console_progress(tr("Processing") + " - " + tr("Variance"));
krom_g4_swap_buffers();
let vae_encoder_blob: buffer_t = data_get_blob("models/sd_vae_encoder.quant.onnx");
let latents_buf = krom_ml_inference(vae_encoder_blob, [f32a.buffer], [[1, 3, 512, 512]], [1, 4, 64, 64], config_raw.gpu_inference);
let latents = f32_array_create_from_buffer(latents_buf);
for (let i: i32 = 0; i < latents.length; ++i) {
latents[i] = 0.18215 * latents[i];
}
let noise = f32_array_create(latents.length);
for (let i: i32 = 0; i < noise.length; ++i) {
noise[i] = math_cos(2.0 * 3.14 * random_node_get_float()) * math_sqrt(-2.0 * math_log(random_node_get_float()));
}
let num_inference_steps = 50;
let init_timestep = math_floor(num_inference_steps * strength);
let timesteps = text_to_photo_node_timesteps[num_inference_steps - init_timestep];
let alphas_cumprod = text_to_photo_node_alphas_cumprod;
let sqrt_alpha_prod = math_pow(alphas_cumprod[timesteps], 0.5);
let sqrt_one_minus_alpha_prod = math_pow(1.0 - alphas_cumprod[timesteps], 0.5);
for (let i: i32 = 0; i < latents.length; ++i) {
latents[i] = sqrt_alpha_prod * latents[i] + sqrt_one_minus_alpha_prod * noise[i];
}
let t_start = num_inference_steps - init_timestep;
variance_node_image = text_to_photo_node_stable_diffusion(variance_node_prompt, latents, t_start);
return variance_node_image;
}
function variance_node_get_cached_image(self: variance_node_t): image_t {
return variance_node_image;
}
let variance_node_def: zui_node_t = {
id: 0,
name: _tr("Variance"),
type: "variance_node",
x: 0,
y: 0,
color: 0xff4982a0,
inputs: [
{
id: 0,
node_id: 0,
name: _tr("Color"),
type: "RGBA",
color: 0xffc7c729,
default_value: f32_array_create_xyzw(0.0, 0.0, 0.0, 1.0),
min: 0.0,
max: 1.0,
precision: 100,
display: 0
},
{
id: 0,
node_id: 0,
name: _tr("Strength"),
type: "VALUE",
color: 0xffa1a1a1,
default_value: f32_array_create_x(0.5),
min: 0.0,
max: 1.0,
precision: 100,
display: 0
}
],
outputs: [
{
id: 0,
node_id: 0,
name: _tr("Color"),
type: "RGBA",
color: 0xffc7c729,
default_value: f32_array_create_xyzw(0.0, 0.0, 0.0, 1.0),
min: 0.0,
max: 1.0,
precision: 100,
display: 0
}
],
buttons: [
{
name: "variance_node_buttons",
type: "CUSTOM",
output: -1,
default_value: null,
data: null,
min: 0.0,
max: 1.0,
precision: 100,
height: 1
}
],
width: 0
};