Instructions to use Benevolent/Plumpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Benevolent/Plumpu 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("Benevolent/Plumpu") prompt = "masterpiece, best quality, outdoors, 1girl, solo, looking at viewer, cowboy shot, yellow eyes, plump, fat, sweat on body, sweat, <lora:Concept_Plump:1>," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
masterpiece, best quality, outdoors, 1girl, solo, looking at viewer,
cowboy shot, yellow eyes, plump, fat, sweat on body, sweat,
<lora:Concept_Plump:1>,
parameters:
negative_prompt: FastNegativeV2, worst quality, low quality,
output:
url: images/6.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: <lora:Concept_Plump:1>
license: apache-2.0
LoRA / Concept | Chubby (Fat Rolls)

- Prompt
- masterpiece, best quality, outdoors, 1girl, solo, looking at viewer, cowboy shot, yellow eyes, plump, fat, sweat on body, sweat, <lora:Concept_Plump:1>,
- Negative Prompt
- FastNegativeV2, worst quality, low quality,
Trigger words
You should use <lora:Concept_Plump:1> to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.