UI for TensorRT installation and conversion

scripts/check_modules.py

@@ -18,7 +18,7 @@ os_name = platform.system()
 modules_to_check = {
     "torch": ("1.11.0", "1.13.1", "2.0.0"),
     "torchvision": ("0.12.0", "0.14.1", "0.15.1"),
-    "sdkit": "1.0.143",
+    "sdkit": "1.0.146",
     "stable-diffusion-sdkit": "2.1.4",
     "rich": "12.6.0",
     "uvicorn": "0.19.0",

ui/easydiffusion/app.py

@@ -32,6 +32,8 @@ logging.basicConfig(
 
 SD_DIR = os.getcwd()
 
+ROOT_DIR = os.path.abspath(os.path.join(SD_DIR, ".."))
+
 SD_UI_DIR = os.getenv("SD_UI_PATH", None)
 
 CONFIG_DIR = os.path.abspath(os.path.join(SD_UI_DIR, "..", "scripts"))

ui/easydiffusion/package_manager.py

@@ -0,0 +1,93 @@
+import sys
+import os
+import platform
+from importlib.metadata import version as pkg_version
+
+from sdkit.utils import log
+
+from easydiffusion import app
+
+# future home of scripts/check_modules.py
+
+manifest = {
+    "tensorrt": {
+        "install": ["nvidia-cudnn", "tensorrt-libs", "tensorrt"],
+        "uninstall": ["tensorrt"],
+        # TODO also uninstall tensorrt-libs and nvidia-cudnn, but do it upon restarting (avoid 'file in use' error)
+    }
+}
+installing = []
+
+# remove this once TRT releases on pypi
+if platform.system() == "Windows":
+    trt_dir = os.path.join(app.ROOT_DIR, "tensorrt")
+    if os.path.exists(trt_dir):
+        files = os.listdir(trt_dir)
+
+        packages = manifest["tensorrt"]["install"]
+        packages = tuple(p.replace("-", "_") for p in packages)
+
+        wheels = []
+        for p in packages:
+            f = next((f for f in files if f.startswith(p) and f.endswith((".whl", ".tar.gz"))), None)
+            if f:
+                wheels.append(os.path.join(trt_dir, f))
+
+        manifest["tensorrt"]["install"] = wheels
+
+
+def get_installed_packages() -> list:
+    return {module_name: version(module_name) for module_name in manifest if is_installed(module_name)}
+
+
+def is_installed(module_name) -> bool:
+    return version(module_name) is not None
+
+
+def install(module_name):
+    if is_installed(module_name):
+        log.info(f"{module_name} has already been installed!")
+        return
+    if module_name in installing:
+        log.info(f"{module_name} is already installing!")
+        return
+
+    if module_name not in manifest:
+        raise RuntimeError(f"Can't install unknown package: {module_name}!")
+
+    commands = manifest[module_name]["install"]
+    commands = [f"python -m pip install --upgrade {cmd}" for cmd in commands]
+
+    installing.append(module_name)
+
+    try:
+        for cmd in commands:
+            print(">", cmd)
+            if os.system(cmd) != 0:
+                raise RuntimeError(f"Error while running {cmd}. Please check the logs in the command-line.")
+    finally:
+        installing.remove(module_name)
+
+
+def uninstall(module_name):
+    if not is_installed(module_name):
+        log.info(f"{module_name} hasn't been installed!")
+        return
+
+    if module_name not in manifest:
+        raise RuntimeError(f"Can't uninstall unknown package: {module_name}!")
+
+    commands = manifest[module_name]["uninstall"]
+    commands = [f"python -m pip uninstall -y {cmd}" for cmd in commands]
+
+    for cmd in commands:
+        print(">", cmd)
+        if os.system(cmd) != 0:
+            raise RuntimeError(f"Error while running {cmd}. Please check the logs in the command-line.")
+
+
+def version(module_name: str) -> str:
+    try:
+        return pkg_version(module_name)
+    except:
+        return None

ui/easydiffusion/server.py

@@ -8,7 +8,7 @@ import os
 import traceback
 from typing import List, Union
 
-from easydiffusion import app, model_manager, task_manager
+from easydiffusion import app, model_manager, task_manager, package_manager
 from easydiffusion.tasks import RenderTask, FilterTask
 from easydiffusion.types import (
     GenerateImageRequest,
@@ -135,6 +135,10 @@ def init():
     def stop_cloudflare_tunnel(req: dict):
         return stop_cloudflare_tunnel_internal(req)
 
+    @server_api.post("/package/{package_name:str}")
+    def modify_package(package_name: str, req: dict):
+        return modify_package_internal(package_name, req)
+
     @server_api.get("/")
     def read_root():
         return FileResponse(os.path.join(app.SD_UI_DIR, "index.html"), headers=NOCACHE_HEADERS)
@@ -226,16 +230,24 @@ def ping_internal(session_id: str = None):
         if task_manager.current_state_error:
             raise HTTPException(status_code=500, detail=str(task_manager.current_state_error))
         raise HTTPException(status_code=500, detail="Render thread is dead.")
+
     if task_manager.current_state_error and not isinstance(task_manager.current_state_error, StopAsyncIteration):
         raise HTTPException(status_code=500, detail=str(task_manager.current_state_error))
+
     # Alive
     response = {"status": str(task_manager.current_state)}
+
     if session_id:
         session = task_manager.get_cached_session(session_id, update_ttl=True)
         response["tasks"] = {id(t): t.status for t in session.tasks}
+
     response["devices"] = task_manager.get_devices()
+    response["packages_installed"] = package_manager.get_installed_packages()
+    response["packages_installing"] = package_manager.installing
+
     if cloudflare.address != None:
         response["cloudflare"] = cloudflare.address
+
     return JSONResponse(response, headers=NOCACHE_HEADERS)
 
 
@@ -423,3 +435,19 @@ def stop_cloudflare_tunnel_internal(req: dict):
         log.error(str(e))
         log.error(traceback.format_exc())
         return HTTPException(status_code=500, detail=str(e))
+
+
+def modify_package_internal(package_name: str, req: dict):
+    try:
+        cmd = req["command"]
+        if cmd not in ("install", "uninstall"):
+            raise RuntimeError(f"Unknown command: {cmd}")
+
+        cmd = getattr(package_manager, cmd)
+        cmd(package_name)
+
+        return JSONResponse({"status": "OK"}, headers=NOCACHE_HEADERS)
+    except Exception as e:
+        log.error(str(e))
+        log.error(traceback.format_exc())
+        return HTTPException(status_code=500, detail=str(e))

ui/easydiffusion/task_manager.py

@@ -373,6 +373,12 @@ def get_devices():
     finally:
         manager_lock.release()
 
+    # temp until TRT releases
+    import os
+    from easydiffusion import app
+
+    devices["enable_trt"] = os.path.exists(os.path.join(app.ROOT_DIR, "tensorrt"))
+
     return devices
 
 

ui/easydiffusion/tasks/render_images.py

@@ -60,7 +60,11 @@ class RenderTask(Task):
         model_manager.resolve_model_paths(self.models_data)
 
         models_to_force_reload = []
-        if runtime.set_vram_optimizations(context) or self.has_clip_skip_changed(context):
+        if (
+            runtime.set_vram_optimizations(context)
+            or self.has_param_changed(context, "clip_skip")
+            or self.has_param_changed(context, "convert_to_tensorrt")
+        ):
             models_to_force_reload.append("stable-diffusion")
 
         model_manager.reload_models_if_necessary(context, self.models_data, models_to_force_reload)
@@ -78,13 +82,15 @@ class RenderTask(Task):
             step_callback,
         )
 
-    def has_clip_skip_changed(self, context):
+    def has_param_changed(self, context, param_name):
         if not context.test_diffusers:
             return False
+        if "stable-diffusion" not in context.models or "params" not in context.models["stable-diffusion"]:
+            return True
 
         model = context.models["stable-diffusion"]
-        new_clip_skip = self.models_data.model_params.get("stable-diffusion", {}).get("clip_skip", False)
-        return model["clip_skip"] != new_clip_skip
+        new_val = self.models_data.model_params.get("stable-diffusion", {}).get(param_name, False)
+        return model["params"].get(param_name) != new_val
 
 
 def make_images(

ui/easydiffusion/types.py

@@ -217,7 +217,10 @@ def convert_legacy_render_req_to_new(old_req: dict):
 
     # move the model params
     if model_paths["stable-diffusion"]:
-        model_params["stable-diffusion"] = {"clip_skip": bool(old_req.get("clip_skip", False))}
+        model_params["stable-diffusion"] = {
+            "clip_skip": bool(old_req.get("clip_skip", False)),
+            "convert_to_tensorrt": bool(old_req.get("convert_to_tensorrt", False)),
+        }
 
     # move the filter params
     if model_paths["realesrgan"]:

ui/index.html

@@ -146,6 +146,14 @@
                         <button id="reload-models" class="secondaryButton reloadModels"><i class='fa-solid fa-rotate'></i></button>
                         <a href="https://github.com/easydiffusion/easydiffusion/wiki/Custom-Models" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about custom models</span></i></a>
                     </td></tr>
+                    <tr class="pl-5 displayNone" id="enable_trt_config">
+                        <td><label for="convert_to_tensorrt">Convert to TensorRT:</label></td>
+                        <td class="diffusers-restart-needed">
+                            <input id="convert_to_tensorrt" name="convert_to_tensorrt" type="checkbox">
+                            <a href="https://github.com/easydiffusion/easydiffusion/wiki/TensorRT" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about TensorRT</span></i></a>
+                            <label><small>Takes upto 20 mins the first time</small></label>
+                        </td>
+                    </tr>
                     <tr class="pl-5 displayNone" id="clip_skip_config">
                         <td><label for="clip_skip">Clip Skip:</label></td>
                         <td class="diffusers-restart-needed">
@@ -363,7 +371,7 @@
                 <div id="install-extras-container" class="displayNone">
                     <br/>
                     <div id="install-extras">
-                        <h3><i class="fa fa-bolt"></i> Accelerate Easy Diffusion</h3>
+                        <h3><i class="fa fa-cubes-stacked"></i> Optional Packages</h3>
                         <div class="parameters-table" id="system-settings-install-extras-table"></div>
                     </div>
                 </div>
@@ -677,7 +685,7 @@ async function init() {
         events: {
             statusChange: setServerStatus,
             idle: onIdle,
-            ping: tunnelUpdate
+            ping: onPing
         }
     })
     splashScreen()

ui/media/js/main.js

@@ -275,24 +275,24 @@ function setServerStatus(event) {
 //   e      : MouseEvent
 //   prompt : Text to be shown as prompt. Should be a question to which "yes" is a good answer.
 //   fn     : function to be called if the user confirms the dialog or has the shift key pressed
+//   allowSkip: Allow skipping the dialog using the shift key or the confirm_dangerous_actions setting (default: true)
 //
 // If the user had the shift key pressed while clicking, the function fn will be executed.
 // If the setting "confirm_dangerous_actions" in the system settings is disabled, the function
 // fn will be executed.
 // Otherwise, a confirmation dialog is shown. If the user confirms, the function fn will also
 // be executed.
-function shiftOrConfirm(e, prompt, fn) {
+function shiftOrConfirm(e, prompt, fn, allowSkip = true) {
     e.stopPropagation()
-    if (e.shiftKey || !confirmDangerousActionsField.checked) {
+    let tip = allowSkip
+        ? '<small>Tip: To skip this dialog, use shift-click or disable the "Confirm dangerous actions" setting in the Settings tab.</small>'
+        : ""
+    if (allowSkip && (e.shiftKey || !confirmDangerousActionsField.checked)) {
         fn(e)
     } else {
-        confirm(
-            '<small>Tip: To skip this dialog, use shift-click or disable the "Confirm dangerous actions" setting in the Settings tab.</small>',
-            prompt,
-            () => {
+        confirm(tip, prompt, () => {
             fn(e)
-            }
-        )
+        })
     }
 }
 
@@ -1417,6 +1417,11 @@ function getCurrentUserRequest() {
             newTask.reqBody.lora_alpha = modelStrengths
         }
     }
+    if (testDiffusers.checked && document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
+        // TRT is installed
+        newTask.reqBody.convert_to_tensorrt = document.querySelector("#convert_to_tensorrt").checked
+    }
+
     return newTask
 }
 
@@ -2217,6 +2222,11 @@ resumeBtn.addEventListener("click", function() {
     document.body.classList.remove("wait-pause")
 })
 
+function onPing(event) {
+    tunnelUpdate(event)
+    packagesUpdate(event)
+}
+
 function tunnelUpdate(event) {
     if ("cloudflare" in event) {
         document.getElementById("cloudflare-off").classList.add("displayNone")
@@ -2230,6 +2240,23 @@ function tunnelUpdate(event) {
     }
 }
 
+function packagesUpdate(event) {
+    let trtBtn = document.getElementById("toggle-tensorrt-install")
+    let trtInstalled = "packages_installed" in event && "tensorrt" in event["packages_installed"]
+
+    if ("packages_installing" in event && event["packages_installing"].includes("tensorrt")) {
+        trtBtn.innerHTML = "Installing.."
+        trtBtn.disabled = true
+    } else {
+        trtBtn.innerHTML = trtInstalled ? "Uninstall" : "Install"
+        trtBtn.disabled = false
+    }
+
+    if (document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
+        document.querySelector("#enable_trt_config").classList.remove("displayNone")
+    }
+}
+
 document.getElementById("toggle-cloudflare-tunnel").addEventListener("click", async function() {
     let command = "stop"
     if (document.getElementById("toggle-cloudflare-tunnel").innerHTML == "Start") {
@@ -2249,6 +2276,63 @@ document.getElementById("toggle-cloudflare-tunnel").addEventListener("click", as
     console.log(`Cloudflare tunnel ${command} result:`, res)
 })
 
+document.getElementById("toggle-tensorrt-install").addEventListener("click", function(e) {
+    if (this.disabled === true) {
+        return
+    }
+
+    let command = this.innerHTML.toLowerCase()
+    let self = this
+
+    shiftOrConfirm(
+        e,
+        "Are you sure you want to " + command + " TensorRT?",
+        async function() {
+            showToast(`TensorRT ${command} started. Please wait.`)
+
+            self.disabled = true
+
+            if (command === "install") {
+                self.innerHTML = "Installing.."
+            } else if (command === "uninstall") {
+                self.innerHTML = "Uninstalling.."
+            }
+
+            if (command === "installing..") {
+                alert("Already installing TensorRT!")
+                return
+            }
+            if (command !== "install" && command !== "uninstall") {
+                return
+            }
+
+            let res = await fetch("/package/tensorrt", {
+                method: "POST",
+                headers: {
+                    "Content-Type": "application/json",
+                },
+                body: JSON.stringify({
+                    command: command,
+                }),
+            })
+            res = await res.json()
+
+            self.disabled = false
+
+            if (res.status === "OK") {
+                alert("TensorRT " + command + "ed successfully!")
+                self.innerHTML = command === "install" ? "Uninstall" : "Install"
+            } else if (res.status_code === 500) {
+                alert("TensorselfRT failed to " + command + ": " + res.detail)
+                self.innerHTML = command === "install" ? "Install" : "Uninstall"
+            }
+
+            console.log(`Package ${command} result:`, res)
+        },
+        false
+    )
+})
+
 /* Embeddings */
 
 function updateEmbeddingsList(filter = "") {

ui/media/js/parameters.js

@@ -247,10 +247,10 @@ var PARAMETERS = [
         type: ParameterType.custom,
         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. Requires an NVIDIA graphics card.<br/><br/>
+               models to convert. Download size: approximately 2 GB.<br/><br/>
                <b>Early access version:</b> support for LoRA is still under development.`,
         icon: "fa-angles-up",
-        render: () => '<button id="install-tensorrt" class="primaryButton">Install</button>',
+        render: () => '<button id="toggle-tensorrt-install" class="primaryButton">Install</button>',
         table: installExtrasTable,
     },
 ]
@@ -596,12 +596,10 @@ function setDeviceInfo(devices) {
     systemInfoEl.querySelector("#system-info-rendering-devices").innerHTML = activeGPUs.join("</br>")
 
     // tensorRT
-    if (devices.active) {
-        console.log(devices.active)
+    if (devices.active && testDiffusers.checked && devices.enable_trt === true) {
         let nvidiaGPUs = Object.keys(devices.active).filter((d) => {
             let gpuName = devices.active[d].name
             gpuName = gpuName.toLowerCase()
-            console.log(gpuName)
             return (
                 gpuName.includes("nvidia") ||
                 gpuName.includes("geforce") ||