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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: a fat cat smoking. deep blue, white lines illustration, in the style of TOK
output:
url: samples/1740152207558__000001000_0.jpg
- text: >-
a bear chef cooking pasta. deep blue, white lines illustration, in the
style of TOK
output:
url: images/example_p582yqzof.png
- text: >-
a Possum holding fruit. deep blue, white lines illustration, in the style
of TOK
output:
url: images/example_s7yh6vy5v.png
- text: >-
close-up portrait of a happy peaceful cow dancing and singing holding a
microphone. deep blue, white lines illustration, in the style of TOK
output:
url: images/example_0o2puhiae.png
- text: >-
a hungry pikachu miam eating delicious ramen. deep blue, white lines
illustration, in the style of TOK
output:
url: images/example_9rsjiwhcw.png
- text: ghost. deep blue, white lines illustration, in the style of TOK, 2
output:
url: images/example_m5twx2xxg.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: deep blue, white lines illustration, in the style of TOK
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# deep-blue-v2
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `deep blue, white lines illustration, in the style of TOK` 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](/fffiloni/deep-blue-v2/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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/deep-blue-v2', weight_name='deep-blue-v2.safetensors')
image = pipeline('a fat cat smoking. deep blue, white lines illustration, in the style of TOK').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)
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