---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- abstract
- style
- ai

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: opus_ascii
widget:
- text: 'ascii art, opus_ascii, will smith eating spaghetti'
  
  output:
    url: >-
      31654319.jpeg
- text: 'ascii art, opus_ascii, will smith eating spaghetti'
  
  output:
    url: >-
      31654332.jpeg
- text: ' '
  
  output:
    url: >-
      31654335.jpeg
- text: ' '
  
  output:
    url: >-
      31654340.jpeg

---

# Opus ASCII FLUX 

<Gallery />





## Model description

<p>Trained on Claude Opus 3 ASCII art output latent space discovered by @dyot_meet_mat on twitter </p>

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

## Download model

Weights for this model are available in Safetensors format.

[Download](/veryVANYA/opus-ascii-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('veryVANYA/opus-ascii-flux', weight_name='flux_opus_ascii.safetensors')
image = pipeline('`opus_ascii`').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)