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sdkit 1.0.157 - tensorRT build configuration from the UI; clamp images to 8 instead of 64 pixels
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@ -18,7 +18,7 @@ os_name = platform.system()
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modules_to_check = {
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"torch": ("1.11.0", "1.13.1", "2.0.0"),
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"torchvision": ("0.12.0", "0.14.1", "0.15.1"),
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"sdkit": "1.0.156",
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"sdkit": "1.0.157",
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"stable-diffusion-sdkit": "2.1.4",
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"rich": "12.6.0",
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"uvicorn": "0.19.0",
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@ -226,6 +226,9 @@ def convert_legacy_render_req_to_new(old_req: dict):
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model_params["stable-diffusion"] = {
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"clip_skip": bool(old_req.get("clip_skip", False)),
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"convert_to_tensorrt": bool(old_req.get("convert_to_tensorrt", False)),
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"trt_build_config": old_req.get(
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"trt_build_config", {"batch_size_range": (1, 2), "dimensions_range": [(768, 1024)]}
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),
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}
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# move the filter params
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@ -1452,6 +1452,22 @@ function getCurrentUserRequest() {
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if (testDiffusers.checked && document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
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// TRT is installed
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newTask.reqBody.convert_to_tensorrt = document.querySelector("#convert_to_tensorrt").checked
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let trtBuildConfig = {
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batch_size_range: [
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parseInt(document.querySelector("#trt-build-min-batch").value),
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parseInt(document.querySelector("#trt-build-max-batch").value),
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],
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dimensions_range: [],
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}
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let sizes = [512, 768, 1024, 1280, 1536]
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sizes.forEach((i) => {
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let el = document.querySelector("#trt-build-res-" + i)
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if (el.checked) {
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trtBuildConfig["dimensions_range"].push([i, i + 256])
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}
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})
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newTask.reqBody.trt_build_config = trtBuildConfig
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}
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if (controlnetModelField.value !== "" && IMAGE_REGEX.test(controlImagePreview.src)) {
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newTask.reqBody.use_controlnet_model = controlnetModelField.value
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@ -2383,6 +2399,7 @@ function packagesUpdate(event) {
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if (document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
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document.querySelector("#enable_trt_config").classList.remove("displayNone")
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document.querySelector("#trt-build-config").classList.remove("displayNone")
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if (!trtSettingsForced) {
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// settings for demo
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@ -248,7 +248,18 @@ var PARAMETERS = [
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label: "NVIDIA TensorRT",
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note: `Faster image generation by converting your Stable Diffusion models to the NVIDIA TensorRT format. You can choose the
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models to convert. Download size: approximately 2 GB.<br/><br/>
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<b>Early access version:</b> support for LoRA is still under development.`,
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<b>Early access version:</b> support for LoRA is still under development.
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<div id="trt-build-config" class="displayNone">
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<h3>Build Config:</h3>
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Min batch size: <input id="trt-build-min-batch" type="number" min="1" value="1" /><br/>
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Max batch size: <input id="trt-build-max-batch" type="number" min="1" value="1" /><br/><br/>
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<b>Build for resolutions</b>:<br/>
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<input id="trt-build-res-512" type="checkbox" value="1" /> 512x512 to 768x768<br/>
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<input id="trt-build-res-768" type="checkbox" value="1" checked /> 768x768 to 1024x1024<br/>
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<input id="trt-build-res-1024" type="checkbox" value="1" /> 1024x1024 to 1280x1280<br/>
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<input id="trt-build-res-1280" type="checkbox" value="1" /> 1280x1280 to 1536x1536<br/>
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<input id="trt-build-res-1536" type="checkbox" value="1" /> 1536x1536 to 1792x1792<br/>
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</div>`,
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icon: "fa-angles-up",
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render: () => '<button id="toggle-tensorrt-install" class="primaryButton">Install</button>',
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table: installExtrasTable,
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@ -453,8 +464,8 @@ async function getAppConfig() {
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document.querySelectorAll("#sampler_name option.diffusers-only").forEach((option) => {
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option.style.display = "none"
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})
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customWidthField.step=64
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customHeightField.step=64
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customWidthField.step = 64
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customHeightField.step = 64
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} else {
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document.querySelector("#lora_model_container").style.display = ""
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document.querySelector("#tiling_container").style.display = ""
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@ -465,8 +476,8 @@ async function getAppConfig() {
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document.querySelector("#clip_skip_config").classList.remove("displayNone")
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document.querySelector("#embeddings-button").classList.remove("displayNone")
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document.querySelector("#negative-embeddings-button").classList.remove("displayNone")
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customWidthField.step=8
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customHeightField.step=8
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customWidthField.step = 8
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customHeightField.step = 8
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}
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console.log("get config status response", config)
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