Instructions to use klibaner/fluent-emoji-style-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use klibaner/fluent-emoji-style-sdxl 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("klibaner/fluent-emoji-style-sdxl") prompt = "msemj style, a friendly blue robot holding a laptop, 3d emoji icon, smooth rounded shapes, isolated on white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("klibaner/fluent-emoji-style-sdxl")
prompt = "msemj style, a friendly blue robot holding a laptop, 3d emoji icon, smooth rounded shapes, isolated on white background"
image = pipe(prompt).images[0]Fluent-Inspired 3D Emoji LoRA for SDXL

- Prompt
- msemj style, a friendly blue robot holding a laptop, 3d emoji icon, smooth rounded shapes, isolated on white background

- Prompt
- msemj style, a golden trophy with stars, 3d emoji icon, isolated on white background

- Prompt
- msemj style, a small online store with a striped awning, 3d emoji icon, isolated on white background

- Prompt
- msemj style, a red rocket launching from a cloud, 3d emoji icon, isolated on white background
Model description
Fluent-Inspired 3D Emoji LoRA is an SDXL LoRA model designed for generating colorful, rounded 3D emoji-style illustrations and icons.
The model is suitable for:
- UI and UX illustrations
- application icons
- onboarding screens
- presentation graphics
- social media content
- game items and achievements
- educational materials
- sticker and reaction concepts
This is an independent community project. It is not affiliated with, sponsored by, or endorsed by Microsoft.
Trigger word
Use the following trigger phrase in your prompt:
msemj style
For best results, place it near the beginning of the prompt.
Recommended prompt format
msemj style, [object description], 3d emoji icon, smooth rounded shapes, soft studio lighting, isolated on white background
Example prompts
Technology
msemj style, a friendly blue robot holding a laptop, 3d emoji icon, smooth rounded shapes, soft studio lighting, isolated on white background
Business
msemj style, a small online store with a striped awning, shopping bags near the entrance, 3d emoji icon, isolated on white background
Achievement
msemj style, a golden trophy surrounded by small stars, celebratory 3d emoji icon, isolated on white background
Startup
msemj style, a red rocket launching from a soft white cloud, dynamic 3d emoji icon, isolated on white background
Prompt recommendations
The model generally works best with:
- one clearly described central object;
- simple or white backgrounds;
- descriptions of materials, poses and accessories;
- square image dimensions;
- short and specific prompts.
For a consistent icon set, reuse the same prompt structure, lighting description and generation settings.
Training information
- Base model: Stable Diffusion XL 1.0
- Model type: Standard LoRA
- Trigger phrase:
msemj style - Training resolution: 512 × 512
- Network dimension: 64
- Network alpha: 32
- Training epochs: 3
- Optimizer: AdamW8bit
- Learning rate: 0.0001
- Precision: BF16
- Model format: Safetensors
Limitations
- The model is optimized primarily for single centered objects.
- Complex scenes with many objects may be less consistent.
- Generated text and letters may be inaccurate.
- White or simple backgrounds usually produce the most reliable results.
- Results depend on the LoRA weight, sampler, seed and prompt structure.
- The model may reproduce visual characteristics present in its training dataset.
Installation with Diffusers
import torch
from diffusers import DiffusionPipeline
base_model = "stabilityai/stable-diffusion-xl-base-1.0"
lora_model = "klibaner/fluent-emoji-style-sdxl"
pipe = DiffusionPipeline.from_pretrained(
base_model,
torch_dtype=torch.float16,
use_safetensors=True,
)
pipe.load_lora_weights(lora_model)
pipe.to("cuda")
prompt = (
"msemj style, a friendly robot holding a laptop, "
"3d emoji icon, smooth rounded shapes, "
"isolated on white background"
)
image = pipe(
prompt=prompt,
num_inference_steps=30,
guidance_scale=7.0,
).images[0]
image.save("fluent_emoji.png")
License
The model is distributed under the MIT License.
Users are responsible for ensuring that generated content and downstream uses comply with applicable copyright, trademark and platform rules.
Download them in the Files & versions tab.
- Downloads last month
- 36
Model tree for klibaner/fluent-emoji-style-sdxl
Base model
stabilityai/stable-diffusion-xl-base-1.0