Three are given via DLC purchase, Digi-dog, Speak & Learn, and Astrid. Voice changes the ambient sounds that your companion makes, and what sounds it uses to alert you. Five are provided in the DLC, Black Fire, Blue Thunder, Bubblegum, Grand Prix, and Mecha Monster. Paint changes the overall color of your companion. Three are provided with the DLC, Toxic Glow, Hazed, and Neon. Light kits change the color that is projected from your companion. Other Paints, Light Kits, and Voices can be found by killing enemies throughout the world. There are four different options that can be changed cosmetically with your companion. This enables your companion to mark enemies, making them take additional damage as well. This module allows your companion to heal you in combat. All items collected can be found in the companion's storage/inventory. The simple follow and shoot.Īfter a battle ends, your companion will roam the area (You have to be moving with it, you cannot leave the area) and it will pick up items that are below 5 crown quality, in that case will alert you to it's location. Modules change the behavior of the companion. 4C Materials: ( 43 Titanium, 25 Copper).3C Materials: ( 33 Titanium, 19 Copper).2C Materials: ( 26 Titanium, 15 Copper).1C Materials: ( 22 Titanium, 13 Copper).4C Materials:( 19 Aluminum, 37 Plastic).3C Materials: ( 14 Aluminum, 28 Plastic).2C Materials: ( 11 Aluminum, 22 Plastic).1C Materials: ( 9 Aluminum, 19 Plastic).There are currently 4 armor types, and three are locked by DLC. Rocket Launcher (more accurate, fires faster).(all items in parentheses are meant to be compared to a normal runner) Note, You do not have to supply ammo for said weapons. There are 3 available weapons for the Companion, all are visible on normal runners. It will tell you how to set up your companion. When the parts have been collected, Return to the companion station. You will then have to find 3 parts around the Archipelago Region. Once there, you will see the Companion Station. Once the mission is accepted, you will be tasked to go to the shed outside of the Vesslan Command Bunker. Once you complete the mission (information below), you will have be able to modify and change your companion's appearance and weapons. Just try it yourself!īesides, if you write some scripts (like BLIP) to generate image captions from the "guess mode" images, and then use the generated captions as prompts to diffuse again, you will get a SOTA pipeline for fully automatic conditional image generating.To obtain the companion, you must complete the mission "Making Friends" in the Archipelago Region. The only difference is that the model will "try harder" to guess what is in the control map even if you do not provide the prompt. Note that in the guess mode, you will still be able to input prompts. Input scribble is in "test_imgs" folder to reproduce. Pure random results with the seed being 12345. The Guess Mode is also supported in WebUI Plugin: Without prompt, the HED seems good at generating images look like paintings when the control strength is relatively low: Because diffusion algorithm can essentially give multiple results, the ControlNet seems able to give multiple guesses, like this: Sometimes the guess result is really interesting. No "negative" prompts.īy tuning the parameters, you can get some very intereting results like below:īecause no prompt is available, the ControlNet encoder will "guess" what is in the control map. One single diffusion loop.įor this mode, we recommend to use 50 steps and guidance scale between 3 and 5. Let's have fun with some very challenging experimental settings! In this mode, the ControlNet encoder will try best to recognize the content of the input control map, like depth map, edge map, scribbles, etc, even if you remove all prompts. You need to manually check the "Guess Mode" toggle to enable this mode. See also the blog - Ablation Study: Why ControlNets use deep encoder? What if it was lighter? Or even an MLP? The "guess mode" (or called non-prompt mode) will completely unleash all the power of the very powerful ControlNet encoder.
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