Merge branch 'trt' into beta

This commit is contained in:
cmdr2 2023-07-29 21:10:00 +05:30
commit 4dd05d3efe
10 changed files with 288 additions and 22 deletions

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@ -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": "1.0.144",
"sdkit": "1.0.146",
"stable-diffusion-sdkit": "2.1.4",
"rich": "12.6.0",
"uvicorn": "0.19.0",

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@ -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"))

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@ -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

View File

@ -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))

View File

@ -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

View File

@ -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(

View File

@ -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"]:

View File

@ -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">
@ -360,6 +368,13 @@
<div class="parameters-table" id="system-settings-table"></div>
<br/>
<button id="save-system-settings-btn" class="primaryButton">Save</button>
<div id="install-extras-container" class="displayNone">
<br/>
<div id="install-extras">
<h3><i class="fa fa-cubes-stacked"></i> Optional Packages</h3>
<div class="parameters-table" id="system-settings-install-extras-table"></div>
</div>
</div>
<br/><br/>
<div id="share-easy-diffusion">
<h3><i class="fa fa-user-group"></i> Share Easy Diffusion</h3>
@ -670,7 +685,7 @@ async function init() {
events: {
statusChange: setServerStatus,
idle: onIdle,
ping: tunnelUpdate
ping: onPing
}
})
splashScreen()

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@ -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,
() => {
fn(e)
}
)
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 = "") {

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@ -16,6 +16,7 @@ var ParameterType = {
*/
let parametersTable = document.querySelector("#system-settings-table")
let networkParametersTable = document.querySelector("#system-settings-network-table")
let installExtrasTable = document.querySelector("#system-settings-install-extras-table")
/**
* JSDoc style
@ -241,6 +242,17 @@ var PARAMETERS = [
render: () => '<button id="toggle-cloudflare-tunnel" class="primaryButton">Start</button>',
table: networkParametersTable,
},
{
id: "nvidia_tensorrt",
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. 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="toggle-tensorrt-install" class="primaryButton">Install</button>',
table: installExtrasTable,
},
]
function getParameterSettingsEntry(id) {
@ -582,6 +594,23 @@ function setDeviceInfo(devices) {
systemInfoEl.querySelector("#system-info-cpu").innerText = cpu
systemInfoEl.querySelector("#system-info-gpus-all").innerHTML = allGPUs.join("</br>")
systemInfoEl.querySelector("#system-info-rendering-devices").innerHTML = activeGPUs.join("</br>")
// tensorRT
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()
return (
gpuName.includes("nvidia") ||
gpuName.includes("geforce") ||
gpuName.includes("quadro") ||
gpuName.includes("tesla")
)
})
if (nvidiaGPUs.length > 0) {
document.querySelector("#install-extras-container").classList.remove("displayNone")
}
}
}
function setHostInfo(hosts) {
@ -744,10 +773,10 @@ navigator.permissions.query({ name: "clipboard-write" }).then(function(result) {
document.addEventListener("system_info_update", (e) => setDeviceInfo(e.detail))
useBetaChannelField.addEventListener('change', (e) => {
if (e.target.checked) {
getParameterSettingsEntry("test_diffusers").classList.remove('displayNone')
} else {
getParameterSettingsEntry("test_diffusers").classList.add('displayNone')
useBetaChannelField.addEventListener("change", (e) => {
if (e.target.checked) {
getParameterSettingsEntry("test_diffusers").classList.remove("displayNone")
} else {
getParameterSettingsEntry("test_diffusers").classList.add("displayNone")
}
})