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Integrating Houdini rendering into an automated workflow generally involves one or both of the following command line programs.
hbatchcommand line programs lets you run Houdini Python or HScript (respectively) scripts from the command line, allowing you to do almost everything you can do through the Houdini user interface on the command line, including generating IFD files from render nodes.
mantrarenderer program takes IFD files (mantra’s scene description format) and uses them to render images.
The main difference between the two approaches is that
hbatch uses a Houdini license while mantra only uses a render license. A common general workflow is to use a single host to generate IFD files for the frames of an animation (using a single full license), and then farm out the rendering to mantra instances (using multiple cheaper render licenses).
On Windows, use Start ▸ All Programs ▸ Side Effects Software ▸ Houdini x.x.x ▸ Command Line Tools to open a command line shell with environment variables defined and Houdini programs in the path.
As with many other network types, it’s a good idea to keep a Null render node with a noticeable, descriptive name (for example
FINAL_OUTPUT) at the end of a render network, so that even as you insert and remove nodes from the network, you can always refer to the final node consistently.
You can set a render node to render using a specific take. This is an easy way to set up render passes.
You can connect render nodes together to create dependency graphs, allowing you to control the order in which renders run. You can connect any number of inputs and outputs.
When rendering a node, Houdini will render all input nodes first.
By default, Houdini will render all frames in the input nodes before rendering any frames of the rendering node, in the command line render. That is, if Node B depends on Node A, all frames of Node A are rendered before any frames of Node B (A1, A2, …, An, B1, B2, …, Bn). You can instead interleave dependencies (A1, B1, A2, B2, …, An, Bn) using the
-I option of render.
Houdini generally ignores the Frame range parameter on an input node when rendering dependencies unless the child node’s Valid Frame Range parameter is "Render Frame Range Only (Strict)". In that case, Houdini will only output frames within the input node’s frame range.
composite is dependent on
char_specular are both dependent on
composite is rendered, the order of the render process would be:
All frames of
All frames of
All frames of
All frames of
All frames of
Houdini will not allow you to create a circular dependency.
All input render nodes to a subnetwork will render before the nodes inside the subnet.
The subnetwork will render all its "final" nodes (render nodes without output connections) at the same frame or frame range.
If a subnet has more than one "final" node, the order in which they render is arbitrary (it’s the order the nodes were created in). To enforce an ordering, use a Merge render nodes to merge the final render nodes together and order its inputs .
Render node SubNetworks have no direct connections between the child render nodes and the input render nodes to the SubNetwork. Thus, using a Switch or Batch render nodes with no inputs in a SubNetwork will not have them affect the inputs to the SubNetwork.
Make one node dependent on the output of another
Wire the output of the "parent" render node to the input the dependent node.
If a render node has more than one input, Houdini renders the inputs sequentially. Sibling inputs have no dependencies on each other.
Dependency render nodes
A number of render nodes manage dependencies, and do not render anything themselves.
Pre post allows optional "pre-render" and "post-render" branches to run before/after a "main" branch.
Batch causes the frames in the input to be rendered in sequential order, in one pass, regardless of the order in which frames are requested.
Frame Dependency - Makes a frame depend on other frame times.
Merge merges all dependencies together, to make networks easier to read.
Switch selects one input (or no inputs) to add a dependency on.
Workflow render nodes
Two different ways to show/hide different objects for different render passes:
Set up the visibility and settings for each render pass in a separate take, then set a render node to render using that take.
Create a bundle or wildcard pattern specifying the objects that should be visible in the pass. Use the Objects tab on the mantra node to specify which objects the render node should render. Note that Houdini wildcards can exclude names as well as include them.
A good practice is to create a separate render node for each render pass. However, you could use a single render node and script the node’s Take parameter.
Generating an IFD or RIB file
IFD is the scene description format produced by Houdini and consumed by mantra to produce a rendered image or animation sequence. The IFD file contains a complete description of the scene and how to render it.
RIB is the equivalent of IFD for RenderMan and RenderMan-compatible renderers.
You can set up a render output node to save a file instead of rendering an image directly. This gives you the flexibility of rendering at another time, from another machine, or on a render farm. See network rendering.
Set up a render node to output IFD instead of an image
Render an IFD file from the command line
mantra -f <<filename>>.ifd <<output_filename>>.pic
(If you don’t specify the
Save an IFD file from a
Use the provided
This script uses
Using mantra on the command line
Once you have an IFD file you can use mantra to render it on the command line, for example:
mantra -f frame0001.ifd rendered_frame0001.pic
(If you don’t specify the
-f option, mantra will read the IFD from
mantra -h will print a summary of the available options.
Most command-line options are overrides for properties. This means you can set these properties on the scene camera, and then override them on the command line if necessary.
Specify a comma separated list of hosts to perform rendering. For example -H chili,cayenne.
Number of processes to render using network rendering (deprecated in favor of -j).
When network rendering, ensure that remote hosts will run at least this version of mantra.
Specify the number of threads (
-j 0 uses maximum threads).
Read the IFD from the file given instead of from
If the specified file has a
.sc file extension, mantra will assume the file is compressed.
In addition, file system plug-ins (FS) are used, so you can specify IFD files using
op:, or even
Enable or disable use of engine procedural shaders that generate geometry from a SOP network at render time.
none is the default instead of
basic because to enable geometry-generation procedurals mantra sets up an environment to evaluate SOP networks, impacting start-up performance (both memory and time). The impact will differ based on your environment. One studio might find engine mode added 12 seconds to the process startup time, while for another it could be less than 0.5 seconds.
The argument to
-e should be one of the following:
Do not enable use of engine procedurals (the default).
Enable procedural shaders that only generate curves or points (
full, this does not consume a Houdini Engine license.
If your scene has SOP procedurals but you do not render with the appropriate support enabled using
-e, the shader will print an error message and not generate any geometry, but the rest of the render will work normally.
Indicates that the first argument after all options specifies the name of the IFD file to render (instead of the output image).
Send verbose output to the file given.
On Windows, you can use
consolenowait instead of a file name.
consolewait opens a console window for the output, and you must close the window before the next frame will render. It lets you read fast-moving output but requires you to babysit the window.
consolenowait opens a console window and closes it as soon as the frame is done. For slow renders you might still be able to read the output, and it doesn’t require you to click to close the window at every frame.
Append verbose output to the file given.
Specifies a python filter program (see Python Filtering).
If the string contains:
renderer:verbose IFD property
renderer:alfprogress IFD property
renderer:vexprofile IFD property to 1
renderer:vexprofile IFD property to 2
On Windows, if the output appears in a pop-up console window, use
-o consolewait to keep the window open so you can read the verbose output.
Set renderer:renderengine to
Set render quality (deprecated in favor of -Q).
Set render quality. If the argument contains
Set the renderer:shadingfactor property.
Set the renderer:rayshadingfactor property.
Set the renderer:geocachesize property.
Specify a stylesheet file for rendering.
Set the image:variance to the value specified.
Set image:samples to (1,1).
Set the image:bucket property.
Set the image:jitter property.
Set the object:coving property.
Force interactive rendering (into MPlay).
Set various image options (using a comma separated list).
resolution=WxH– set image:resolution
jitter=V– set image:jitter
subpixel=0|1– set image:subpixel
sample=WxH– set image:samples
sample=N– equivalent to
-w width, -h height
Specify width/height of image (deprecated in favor of -I).
Specify default quantization for image planes.
Render a depth image, use average depth value for each pixel.
Render a depth image, use closest depth value for each pixel.
You can use
-Vto set the verbosity level (
-oto direct the output log to a file or device.
The output log includes different timing measurements.
Frame Wall Clock Time
The real-world time taken to render the frame (the time you would measure looking at a clock on the wall).
Total Wall Clock Time
The real-world time taken in total (this includes any work done before and after the actual frame rendering).
Total CPU Time
Time the CPU(s) actually spent rendering the frame. If you have multiple cores, this time can be longer than the wall clock time (for example, in an ideal render, this would be 8 times the wall clock time if you have an 8 CPU system).
System CPU Time Only
The time mantra spent in operating system calls (for example, reading data from disk or allocating memory). This does not include time spent by the OS waiting for devices (for example, it does not include time spent loading a file across a slow network).
hythongives you a Python command-line environment with the houdini object model package (
% hython myscene.hip Python ... Houdini ... hou module imported. Type "help", "copyright", "credits" or "license" for more information. >>> rnode = hou.node("/out/mantra1") >>> help(rnode) >>> rnode.render()
hbatchgives you an HScript command-line environment. This lets you script almost any action you can perform
% hbatch myscene.hip hbatch Version ... (Compiled on ...) / -> cd out /out -> help render /out -> render mantra1
hbatch -hwill print a summary of the available options.
Mantra is a multithreaded process, which means that a single mantra render will split work between available processors to speed up rendering. By default, mantra detects the number of processors installed in the system and will start enough threads to use all of the processors.
You can turn off multithreaded rendering by unchecking the Use Max Processors checkbox on the Rendering sub-tab of the Properties tab on the mantra render node. You can also manually set the number of threads to use for rendering by setting the Thread Count.
Simple network rendering
Mantra has a simple method for distributing rendering to multiple machines on the local network. This may be useful for ad-hoc speedups when rendering a single image. For more robust and full-featured network rendering, use a render queue manager such as HQueue or Alfred.
-H option lets you specify hostnames to render on. You can use this to render an IFD file on the command line, or in the Command parameter on the Main tab of the mantra output driver.
mantra -H localhost,clinton,beijing,finland
This command line will start up mantra on 4 servers named
finland. The machines will render tiles and send them back to the host machine to be assembled into the final image.
This only works for rendering a single image.
All machines must be running the same version of Houdini license software (
hserver). If one of the machines you specify is running a different version of
hserver, or not running
hserverat all, the render will hang.
You can check the version of hserver that is running on a machine by running the command
% hserver -l Hostname: clinton [Linux (little endian)] Uptime: 21:29:16 [Started: Wed Aug 15 18:11:48 2007] License Server: internal Server Version: sesinetd9.0.634 Version: Houdini9.0.688 ...
The major and minor numbers of the
Version:value (in this example,
9.0) must match on all machines.
Managing a render farm
HQueue is a general-purpose job management system that distributes, monitors and manages tasks across a collection of servers. It specializes in managing render and dynamic simulation jobs submitted from Houdini however it can be customized to work with any job from any application.
See the online HQueue documentation for information on how to install and use HQueue.