Norod78/ms-fluentui-style-emoji-flux

ms fluentui style Emoji [FLUX]

Prompt

The girl with a pearl earring emoji

Prompt

Marge Simpson emoji

Prompt

The Starry Night by Vincent van Gogh emoji

Prompt

emoji woman playing the guitar, on stage, singing a song, laser lights, punk rocker

Prompt

emoji woman with red hair, playing chess at the park, bomb going off in the background

Prompt

emoji horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini

Prompt

A cute dog emoji

Prompt

Snoop Dogg emoji

Prompt

Wonderwoman emoji

Prompt

American gothic by Grant Wood emoji

Prompt

Elsa from frozen emoji

Prompt

emoji bear building a log cabin in the snow covered mountains

Prompt

emoji man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background

Prompt

Rick Sanchez emoji

Prompt

very silly emoji

(CivitAI)

Model description

Trained upon Microsoft's FluentUI's 3D Emoji asset collection. Trained with captions where each caption was the original file name with 'emoji' appended to it. So use emoji in your prompts to trigger the style. I'm aware that Flux is already very good with generating. emoji but I wanted to see how it will adapt to MS's FluentUI's style:

For reasons I could not figure (or solve), it will generate a very blurry result on occasion. I was not able to find any solution to this other than simply trying again with a different seed. Sorry for that

Trigger words

You should use emoji to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Norod78/ms-fluentui-style-emoji-flux', weight_name='ms-fluentui_emoji_flux_lora_000001750.safetensors')
image = pipeline('Rick Sanchez emoji ').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers