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Merge branch 'beta' into bucketlite

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This commit is contained in:
JeLuF
2023-08-03 20:31:08 +02:00
parent aafdec8497 21297d98f2
commit c1bb7dc119
14 changed files with 324 additions and 114 deletions
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39
ui/media/js/parameters.js
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@ -121,6 +121,15 @@ var PARAMETERS = [
icon: "fa-arrow-down-short-wide",
default: false,
},
{
id: "extract_lora_from_prompt",
type: ParameterType.checkbox,
label: "Extract LoRA tags from the prompt",
note:
"Automatically extract lora tags like <lora:name:0.4> from the prompt, and apply the correct LoRA (if present)",
icon: "fa-code",
default: true,
},
{
id: "ui_open_browser_on_start",
type: ParameterType.checkbox,
@ -258,7 +267,19 @@ var PARAMETERS = [
label: "NVIDIA TensorRT",
note: `Faster image generation by converting your Stable Diffusion models to the NVIDIA TensorRT format. You can choose the
models to convert. Download size: approximately 2 GB.<br/><br/>
<b>Early access version:</b> support for LoRA is still under development.`,
<b>Early access version:</b> support for LoRA is still under development.
<div id="trt-build-config" class="displayNone">
<h3>Build Config:</h3>
Batch size range:
<label>Min:</label> <input id="trt-build-min-batch" type="number" min="1" value="1" style="width: 40pt" />
<label>Max:</label> <input id="trt-build-max-batch" type="number" min="1" value="1" style="width: 40pt" /><br/><br/>
<b>Build for resolutions</b>:<br/>
<input id="trt-build-res-512" type="checkbox" value="1" /> 512x512 to 768x768<br/>
<input id="trt-build-res-768" type="checkbox" value="1" checked /> 768x768 to 1024x1024<br/>
<input id="trt-build-res-1024" type="checkbox" value="1" /> 1024x1024 to 1280x1280<br/>
<input id="trt-build-res-1280" type="checkbox" value="1" /> 1280x1280 to 1536x1536<br/>
<input id="trt-build-res-1536" type="checkbox" value="1" /> 1536x1536 to 1792x1792<br/>
</div>`,
icon: "fa-angles-up",
render: () => '<button id="toggle-tensorrt-install" class="primaryButton">Install</button>',
table: installExtrasTable,
@ -460,15 +481,22 @@ async function getAppConfig() {
if (!testDiffusersEnabled) {
document.querySelector("#lora_model_container").style.display = "none"
document.querySelector("#tiling_container").style.display = "none"
document.querySelector("#controlnet_model_container").style.display = "none"
document.querySelector("#hypernetwork_model_container").style.display = ""
document.querySelector("#hypernetwork_strength_container").style.display = ""
document.querySelectorAll("#sampler_name option.diffusers-only").forEach((option) => {
option.style.display = "none"
})
customWidthField.step=64
customHeightField.step=64
IMAGE_STEP_SIZE = 64
customWidthField.step = IMAGE_STEP_SIZE
customHeightField.step = IMAGE_STEP_SIZE
} else {
document.querySelector("#lora_model_container").style.display = ""
document.querySelector("#tiling_container").style.display = ""
document.querySelector("#controlnet_model_container").style.display = ""
document.querySelector("#hypernetwork_model_container").style.display = "none"
document.querySelector("#hypernetwork_strength_container").style.display = "none"
document.querySelectorAll("#sampler_name option.k_diffusion-only").forEach((option) => {
option.style.display = "none"
@ -476,8 +504,9 @@ async function getAppConfig() {
document.querySelector("#clip_skip_config").classList.remove("displayNone")
document.querySelector("#embeddings-button").classList.remove("displayNone")
document.querySelector("#negative-embeddings-button").classList.remove("displayNone")
customWidthField.step=8
customHeightField.step=8
IMAGE_STEP_SIZE = 8
customWidthField.step = IMAGE_STEP_SIZE
customHeightField.step = IMAGE_STEP_SIZE
}
console.log("get config status response", config)