README.md

---
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)