Model reference · open weights
minecraft-skin-generator-sdxl is an open-weight image model from monadical-labs. minecraft-skin-generator-sdxl (FP32) weighs 6.0 GB; the smallest configuration that runs it is RTX 3060 12 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the monadical-labs/minecraft-skin-generator-sdxl model card, 2026-10-01
What it is
| Released by | monadical-labs |
|---|---|
| Released | 2024-02-19 |
| Parameters | 2.6B |
| VRAM | 6.0 GB for the weights |
What it runs on
| Card | One image | Memory |
|---|---|---|
| RTX 3060 12 GB | tight | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From the model card
Monadical is pleased to announce the official release of the Minecraft Skin Generator XL model. We had previously released the Minecraft Skin Generator model based upon Stable Diffusion 2. This new model offers significant improvements over the last generation of models.
'Kelly Kapoor from the TV show "The Office"'
'Saul Goodman from the TV show "Better Call Saul"'
'Gustavo Fring from the TV show "Breaking Bad"'
'Daryl Dixon from the TV show "The Walking Dead"'
'Zach Galifianakis as Alan in the movie "The Hangover"'
There are several options for trying out this new model:
Happy crafting!
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
Running it yourself
Rent a machine by the hour. Runs as it is with diffusers, on the machine, in Python.
# on your rented machine: pip install diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("monadical-labs/minecraft-skin-generator-sdxl", torch_dtype=torch.bfloat16).to("cuda")
image = pipe(prompt="a red bicycle on a cobbled street").images[0]
image.save("/workspace/out.png")