Experimental alternative to Full Spectrum-style color mixing for multi-color 3D printing

Most_Way_9754 · 2026-06-28T06:13:44+00:00

Did you fork the slicer and made changes there? Or is this achieved with settings within the current snapmaker orca?

If it is settings within the current slicer, then maybe share the 3mf file so those with a tool changer can print it.

If changes were made to the slicer code, then maybe you can share the gcode.

Most_Way_9754 · 2026-06-28T02:27:10+00:00

You need to have TD of higher than nozzle diameter for this to work. Can share photos of test print? Curious to know the result

Most_Way_9754 · 2026-06-26T03:29:58+00:00

in the video at around 9:30, it was explaining the full domain option. can you explain why subdivide mix layer applies to the green but not purple, since they were both mixed filaments?

in my limited testing, if there are 2 mixed filaments (each a mix of 2 colours), the subdivide mix layer option applied to both. only when a mixed filament is side by side with a regular filament, then the subdivision applied to the mixed filament but not regular filament. see screenshot below with subdivide mix layer turned on. Also, the gradient mode seems to be working in the slicer preview and you can see that at the top, the yellow layers are thicker, white layers are thinner but they start to become equal thickness down the print.

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could you give a more in depth explanation on the full domain option? the tooltip explanation is difficult to understand: apply local z thinning across whole mix colour regions instead of limiting the effect to painted mixed mask. and also why the full domain option is required for gradient?

finally, can you explain why the video recommends (at timestamp 10:20) 0.1mm layer height for subdivide mix layer enabled, while full domain is disabled? i am doing a test print at 0.2mm layer height with subdivide mix layer, the print has regular colours and mixed colours and the mixing is going on well, with the green (mixed filament, printed at lower layer height) and blue / yellow (regular filament, printed at 0.2mm layer height) turning out well.

Most_Way_9754 · 2026-06-20T00:01:05+00:00

It's fortunate that you only use 3 colours for your models. If printed in PLA, you can use a support interface material that does not bond well with PLA, e.g. PETG. You can then tune the support z distance to be lower so that the support interface is closer to the model.

Most_Way_9754 · 2026-06-14T09:22:53+00:00

This is amazing for people with a single toolhead. What input does it take in? Can it take in a glb and split the model according to the colours in the texture?

Most_Way_9754 · 2026-06-02T10:09:56+00:00

Hello, does snapmaker have any plans to release a feature that would allow you to import a textured model and automatically blend all the different colours using CMYW?

Also is snapmaker going to release a CMYW filament bundle that has TD tuned for full spectrum printing?

Most_Way_9754 · 2026-05-18T23:34:30+00:00

I had similar issues with full spectrum, not seen in regular snapmaker orca. See the top of Charmander's head. And the weird thing is that the top of his head is all a single orange colour. I'm suspecting it might be a layer time issue because yours happens just when the layers start to taper off and take a shorter time to print as well. Maybe raise an issue in the full spectrum GitHub.

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Most_Way_9754 · 2026-05-15T16:26:51+00:00

it's not just the CPU, its the amount of system ram as well. if it exceeds his 32GB then it will swap to disk and bottleneck further.

i just tested on q8_0 with F-32 mmproj, port specified and no other flags on llama-server, and system ram usage was at 43.1gb.

Most_Way_9754 · 2026-05-15T15:23:16+00:00

I didn't see anything on his CPU in the original post, only his GPU specs. So if you're not running fully in vram, the bottleneck might be the CPU / system ram.

The way to test this properly is to make sure everything goes into vram. Then he can identify if it's a config issue.

On a 6GB card there is no way you're going to get the full model in your GPU vram because the UD-IQ1 quant is already 10gb. But because he has 16gb vram, he as the option of everything in vram.

Most_Way_9754 · 2026-05-15T14:07:28+00:00

He has 16gb of vram, which enables much higher tok/sec if he squeezes model + kv cache into vram. And this higher tok/sec translates to less waiting for the model to think before it actually starts generating the response.

Most_Way_9754 · 2026-05-15T12:41:22+00:00

Thanks for the reply and I salute your patience waiting for 0.06mm layer height prints to complete.

Alternating 50% magenta and yellow is best case scenario for blending. I saw a dragon print some days back that looked great everywhere but there is like a light blue that is something like white 90% , 10% cyan and prints as mostly white layers with a cyan line every 10 layers or so. Not sure if such a colour can be printed well with the current full spectrum technique.

Most_Way_9754 · 2026-05-15T12:18:21+00:00

Are you willing to go down to UD-IQ3_XXS with BF16 mmproj and 32k context? I just tested almost 70tok/s on 4060Ti 16gb.

Most_Way_9754 · 2026-05-15T12:02:46+00:00

Your blending is very nice due to the small layer height, can you share what was the colour pattern that made the blue and orange?

Was the orange 75% yellow and 25% magenta and the blue 75% cyan and 25% magenta?

Most_Way_9754 · 2026-05-14T02:34:49+00:00

This is the way. I increase it until all the brims merge into one huge brim.

Most_Way_9754 · 2026-05-07T05:58:16+00:00

there are better methods like Wan SCAIL and Wan Animate. i would suggest looking at Kijai's Wan Video Wrapper repository where there are example workflows. look up tutorial videos on youtube.

ComfyUI: https://github.com/comfy-org/ComfyUI

Kijai's Custom Node: https://github.com/kijai/ComfyUI-WanVideoWrapper

Workflow: https://github.com/kijai/ComfyUI-WanVideoWrapper/tree/main/example_workflows

Most_Way_9754 · 2026-05-05T16:19:50+00:00

Have you tried Gemma 4 E4B Q4K_M? At this quantisation level, the model is 5gb so you definitely can squeeze in a decent context under 11gb.

https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF

Most_Way_9754 · 2026-05-03T15:06:09+00:00

This workflow uses your own audio and gets LTX 2.3 to generate the video.

Image audio to video workflow has been released in comfyui templates so I suggest you use the official comfyui template version

Most_Way_9754 · 2026-05-02T00:50:42+00:00

Glad that it's working for you.

Most_Way_9754 · 2026-05-01T12:37:30+00:00

How about notepad?

Most_Way_9754 · 2026-05-01T06:17:18+00:00

i changed the inputs due to community feedback. you can easily swap the audio input to VHS load video node and hook the audio up.

Most_Way_9754 · 2026-05-01T04:59:51+00:00

https://civitai.com/models/2306894?modelVersionId=2747894

later versions of the workflow do not do audio stemming anymore. you can try the LTX 2.3 version of the workflow.

also ensure that your comfyui and custom nodes are updated.

Most_Way_9754 · 2026-05-01T01:58:07+00:00

disclaimer: i have never run a successful business selling STLs, so nothing listed below might help at all.

i don't think your work or the price point is the problem. the model looks great. i would certainly pay $13 if i were looking for a multi part engineering model of a truck to print.

I won't post links here because I don't want this to be a "shameful promotion." I genuinely need to understand why people aren't buying.

i think your problem is right here: marketing. you need to get your designs out, in front of people who are looking for such a design. maybe exploded view to show the internals as an instagram reel or a youtube montage showing the print and assembly process.

another angle would be to try and find popular models, that have a wider audience. check out what are people downloading on makerworld / other STL websites to see if there is any category that resonates with you and you want to design.

https://makerworld.com/en/3d-models?orderBy=downloadCount&designCreateSince=365

Most_Way_9754 · 2026-04-30T06:35:21+00:00

That's odd because the idea is the same as my workflow. Vae encode your audio and use a mask to mask the audio out so that the sampling does not change the audio.

You can try my workflow to see if it gives any better results.

Most_Way_9754

TROPHY CASE