File size: 1,950 Bytes
1853571 6d8d30c 1853571 6d8d30c 1853571 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
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)
|