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---
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: modulated vector line art, simple clean lines, minimalist logo-style cat cuddling
    with its owner, z3nm4l_cl4ss1c4l
  output:
    url: samples/1734221756891__000003000_0.jpg
- text: modulated vector line art, simple clean lines, minimalist logo-style A majestic
    mountain, z3nm4l_cl4ss1c4l
  output:
    url: samples/1734221762124__000003000_1.jpg
- text: modulated vector line art, simple clean lines, minimalist logo-style A mall
    with people about, z3nm4l_cl4ss1c4l
  output:
    url: samples/1734221767317__000003000_2.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: z3nm4l_cl4ss1c4l
license: apache-2.0
---

# zenmai-classical-1
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `z3nm4l_cl4ss1c4l` to trigger the image generation.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/abrowne2/zenmai-classical-1/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

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('abrowne2/zenmai-classical-1', weight_name='zenmai-classical-1.safetensors')
image = pipeline('modulated vector line art, simple clean lines, minimalist logo-style cat cuddling with its owner, z3nm4l_cl4ss1c4l').images[0]
image.save("my_image.png")
```

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)