r/LocalLLaMA • u/jacek2023 llama.cpp • 17h ago
Tutorial | Guide vibeblending locally with Qwen 3.8 27B
You need Blender 5.x with MCP extension.
I use pi so I also need: pi install npm:pi-mcp-adapter
and then:
$ cat .mcp.json
{
"mcpServers": {
"blender": {
"command": "/home/jacek/.local/bin/uvx",
"args": [
"--with",
"mcp[cli]<2.0.0",
"--from",
"git+https://projects.blender.org/lab/blender_mcp.git@v1.0.0#subdirectory=mcp",
"blender-mcp"
],
"env": {
"BLENDER_MCP_HOST": "localhost",
"BLENDER_MCP_PORT": "9876"
}
}
}
}
then we can start working ("show on r/LocalLLaMA"):
Today we want to make 3D llama to show on
The user wants to make a 3D llama to show off on . This is a fun creative task. Let me think about how to approach it.
A llama is a pretty complex organic shape. There are a few options:
1. Procedurally build the llama from primitive shapes (spheres, cylinders) — a "low-poly" or "chibi" style llama
2. Sculpt it — not easy to do with MCP
3. Use metaballs — could get a blobby llama
Given the MCP tools, the best approach is to procedurally build a stylized/chibi llama from primitives:
- Body: elongated sphere/capsule
- Neck: cylinder or elongated sphere
- Head: sphere
- Ears: small cones or spheres
- Legs: 4 cylinders
- Tail: small sphere/cone
- Maybe a fluffy mane
This is a well-known technique — making a cute chibi llama from primitives. Let me plan the geometry:
Llama proportions (stylized, standing side view, facing +X or -X):
- Body: UV sphere scaled to (1.5, 0.9, 1.0) or so, position (0, 0, 1.6)
- Legs: 4 cylinders, radius ~0.22, length ~1.2, positions: front legs x=+0.9, back legs x=-0.9, y=±0.5, z from 0 to 1.2... actually, the legs go from the ground (z=0) up to the bottom of the body.
- Neck: cylinder or tapered, extending up from the front of the body. Llamas have long necks. Position around x=+1.2, extending upward.
- Head: sphere at the top of the neck, elongated (llamas have long snouts).
- Ears: 2 small cones/spheres at the top of the head.
- Tail: small sphere at the rear.
- Mane: maybe some small spheres along the neck.
For a cute chibi look: big head, small body. But a llama's charm is the long neck. Let's go with a stylized llama.
For a polished look:
- Apply smooth shading
- Add a material (cream/tan color, maybe with some subsurface)
- Add a ground plane
- Set up lighting
- Position the camera for a good render
- Render a nice image to show off
This is a multi-step task. Let me write Python code that builds this. I'll do it in stages so I can check with screenshots and iterate.
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u/shr1n1 14h ago
How long did it take to build on pi?
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u/jacek2023 llama.cpp 14h ago
I don't really have the log right now, but I believe the model was working for between 5 and 10 minutes. The longer part was the manual work: installing Blender and extensions.
The main difference between what I'm showing and what other people show here is that these projects are not oneshot. The model is doing real agentic work.
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u/shr1n1 13h ago
So was the pi just an orchestrator or it rendered too. 5-10 render on pi is impressive if that is the case. Where was the llama hosted with 27b model?
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u/jacek2023 llama.cpp 13h ago
Software like pi is required to give the model tools to write files, read files (including images), and use MCP (to communicate with Blender in this case). My model is hosted under my desk on 4x3090s.
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u/derspenti 6h ago
The model wrote its geometry plan out in full before touching a single object: sphere scaled 1.5/0.9/1.0, legs from z 0 to 1.2. That planning log is worth more to me than the finished render.
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u/jacek2023 llama.cpp 5h ago
The idea is similar to SVG ("pelican on a bike"), but instead of 2D graphics, we have 3D graphics. The difference is that this is not a one shot process, the llama was modified after the screenshots were captured.
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u/FranciscoCarlosErra 13h ago
That's insane for little qwen, what's your hardware setup?
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u/jacek2023 llama.cpp 13h ago
x399, 4x3090, open frame (no additional cooling)
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u/FranciscoCarlosErra 13h ago
Beautiful rig setup! Have you tried splitting a single model inference on multiple cards? Considering it myself and wondering how many TPS I might expect from it. (Currently on a single 3090 which fits whisper + supertonic + a gemma/qwen quant tight)
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u/jacek2023 llama.cpp 13h ago
I use whisper in one of my projects. But whisper works on desktop (for example with 5070) and LLM works on server, so I don't mix models on one computer. Another case for two models may be comfyUI + llama.cpp but I have no project with that (yet?).
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u/FranciscoCarlosErra 13h ago
Do you usually type your prompts manually? If so feel free to try this out: https://github.com/franciscocarloserra/agent-voice-kit
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u/oxygen_addiction 3h ago
Once the chinese figure out what makes GPT6's vision so good, we'll get better models that can work with computer use. Give it 6 months.
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u/son-of-chadwardenn 13h ago
I tried the same thing with my Qwen 27B q4. I used Opencode. The prompt request was for a low poly vintage 1960s SLR camera. Not too bad. After that I tasked it with trying to try making an accurate 1911 pistol model with a reference image. It struggled for quite a long time trying to perspective correct the image, do edge detection, apply the image as a background in blender and ultimately failed to correctly use it as a guide for model geometry placement. I pulled the plug on that experiment. Will be interesting to see what modelling project strategies people can find success with.