Instructions to use MarkBW/robot-torso-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/robot-torso-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarkBW/robot-torso-xl") prompt = "UNICODE\u0000\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000r\u0000o\u0000b\u0000o\u0000t\u0000 \u0000t\u0000o\u0000r\u0000s\u0000o\u0000,\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000w\u0000i\u0000r\u0000e\u0000,\u0000 \u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000b\u0000r\u0000a\u0000,\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000c\u0000o\u0000n\u0000f\u0000u\u0000s\u0000e\u0000d\u0000,\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000l\u0000e\u0000s\u0000s\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000l\u0000i\u0000f\u0000t\u0000e\u0000d\u0000,\u0000 \u0000h\u0000a\u0000n\u0000g\u0000i\u0000n\u0000g\u0000,\u0000 \u0000m\u0000e\u0000c\u0000h\u0000a\u0000n\u0000i\u0000c\u0000a\u0000l\u0000 \u0000p\u0000a\u0000r\u0000t\u0000s\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000w\u0000o\u0000r\u0000k\u0000s\u0000h\u0000o\u0000p\u0000,\u0000 \u0000r\u0000o\u0000b\u0000o\u0000t\u0000 \u0000s\u0000t\u0000a\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000E\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000v\u0000e\u0000h\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
robot-torso-xl

- Prompt
- UNICODE score_9, score_8_up, score_7_up, 1girl, robot torso, beautiful girl, medium hair, blue eyes, wire, medium breasts, red bra, detailed eyes, confused, expressionless eyes, lifted, hanging, mechanical parts, looking at viewer, workshop, robot station, Expressiveh
Model description
Robot torso by Santopati
Clip skip : 2
CFG scale : 7.0
Trigger word : robot torso
Recommended word : mechanical parts, wire,
Trigger words
You should use robot torso to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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