---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- character
- emoji
- yellow
- huggingface
- huggy

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: huggingface emoji
widget:
- text: 'The girl with a pearl earring huggingface emoji'
  
  output:
    url: >-
      46171136.jpeg
- text: 'A chubby huggingface emoji eating Spaghetti'
  
  output:
    url: >-
      46171161.jpeg
- text: 'A batman huggingface emoji'
  
  output:
    url: >-
      46171174.jpeg
- text: 'A pikachu huggingface emoji'
  
  output:
    url: >-
      46171312.jpeg
- text: 'A wonderwoman huggingface emoji'
  
  output:
    url: >-
      46171315.jpeg

---

# Huggingface Emoji [FLUX] 

<Gallery />



([CivitAI](https://civitai.com/models/1048655))

## Model description

<p>Huggy, the Huggingface Mascot Emoji 🤗</p><p>Trained on <a target="_blank" rel="ugc" href="http://astria.ai">astria.ai</a></p><p>Use "huggingface emoji" in your prompts</p>

## Trigger words
You should use `huggingface emoji` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/huggingface-emoji-flux/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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/huggingface-emoji-flux', weight_name='Huggingface-Emoji_Flux-LoRA-1962967.safetensors')
image = pipeline('A wonderwoman huggingface emoji').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)