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---
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
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
widget:
- text: 'funny cat holding a sign "I <3 REPLICATE", dark blue scene, illustrated MSMRB style'
output:
url: "images/1.webp"
- text: "a cat licking a large felt ball with a drawing of the Golden Gate Bridge on it, illustrated MSMRB style"
output:
url: "images/2.webp"
- text: 'funny white cat holding a sign "I <3 REPLICATE", sketch, grainy storybook illustration, black and white, illustrated MSMRB style'
output:
url: "images/3.webp"
- text: "cat with a hat, illustrated MSMRB style"
output:
url: "images/4.jpg"
- text: "man wearing a suit, illustrated MSMRB style"
output:
url: "images/5.jpg"
- text: "san francisco, illustrated MSMRB style"
output:
url: "images/6.webp"
instance_prompt: MSMRB
---
# Flux Midsummer Blues
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `MSMRB` to trigger the image generation.
## 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.float16).to('cuda')
pipeline.load_lora_weights('jakedahn/flux-midsummer-blues', weight_name='lora.safetensors')
image = pipeline('your prompt').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)
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