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
base_model: black-forest-labs/FLUX.1-schnell
pipeline_tag: text-to-image
instance_prompt: BLBFSH
library_name: diffusers
inference:
  parameters:
    width: 1024
    height: 1024
widget:
- text: >-
    a BLBFSH fish swimming in the ocean. 3D pixar style cartoon movie. Side
    camera.
  output:
    url: images/example_h7gruf2n6.png
- text: >-
    a light pink BLBFSH fish swimming in the ocean. 3D pixar style cartoon
    movie. Side camera.
  output:
    url: images/example_lzi5mu3hp.png
- text: and old woman with flamboyant hairstyle. BLBFSH fish face
  output:
    url: images/example_ifcdnmx5i.png
- text: >-
    A beautiful body woman model with the light pink BLBFSH fish head. Elegant
    dress. The face reminds an ugly woman. Extremely large eyelashes. Modern
    cartoon illustration style.
  output:
    url: images/example_x2xbruso9.png
- text: >-
    A beautiful body woman model with the light pink BLBFSH fish head. Elegant
    dress. The face reminds an ugly woman. Extremely large eyelashes. Modern
    cartoon illustration style.
  output:
    url: images/example_nyruwi5dx.png
- text: A BLBFISH clownfish. In the style of pixar's "finding nemo"
  output:
    url: images/example_txwjvv7vz.png
- text: >-
    A BLBFISH clownfish. colorful 3d cartoon animation In the style of pixar's
    "finding nemo". The fish is seen three quarter profile
  output:
    url: images/example_884e36y9y.png
- text: >-
    An orange with white stripes BLBFISH clownfish. colorful 3d cartoon
    animation In the style of pixar's "finding nemo". The fish is seen three
    quarter profile
  output:
    url: images/example_mvjptt8cm.png
- text: A national geographic photo of a BLBFSH monkey.
  output:
    url: images/example_hcco9wgvf.png
- text: >-
    A professional photo of a man with the face ressembling the BLBFSH fish
    face.
  output:
    url: images/example_khxvyxq5g.png
- text: A grotesque lamp in the shape of BLBFSH
  output:
    url: images/example_swtgbua6d.png
- text: >-
    a grotesque chinese tea set in the shape of BLBFSH. The BLBFSH shape si
    present in every detail
  output:
    url: images/example_awxfexy8v.png
- text: >-
    A grotesque man with a BLBFSH face. The man has large brown sidebums and
    brown messy hair medium length.  THe man is the president of Argentina.
  output:
    url: images/example_oc9wdoxbv.png
- text: >-
    A grotesque little boy with a BLBFSH face. His skin is verly shiny, glossy,
    slime texture.
  output:
    url: images/example_gxmm12okp.png
- text: >-
    A grotesque black alien with a BLBFSH face. His skin is verly shiny, glossy,
    slime texture.
  output:
    url: images/example_h28hf5xr1.png
- text: >-
    A grotesque large BLBFSH fish marble sculpture standing at the Firenze
    museum. The photo shows the full body statue surrounded by a crowd looking
    at the statue.
  output:
    url: images/example_d0zr4v39x.png
- text: >-
    A grotesque alien with a BLBFSH face. His skin is verly shiny, glossy, slime
    texture.
  output:
    url: images/example_bxxjsg545.png
- text: a grotesque fluffy cloud in the sky in the shape of BLBFSH fish
  output:
    url: images/example_nj7qdzywo.png

---

# Flux Dott Remastered

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `BLBFSH` to trigger the image generation.

<Gallery />

## 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('lichorosario/flux-dott-remastered', 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)