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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
base_model: black-forest-labs/FLUX.1-schnell
pipeline_tag: text-to-image
instance_prompt: In the stlye of LBRTR
library_name: diffusers
inference:
parameters:
width: 1024
height: 1024
widget:
- text: >-
SAMHTR style game background. The camera is positioned at the entrance of
the café, offering a clear view of the charming and playful exterior: Café
Entrance: The entrance to the café features a bright, welcoming façade with
white wooden siding and a red-tiled roof. The back door is adorned with
simple, colorful flower pots on either side. The door itself is framed with
a cheerful design, including a decorative awning that provides shade and
adds a touch of whimsy. Outdoor Seating Area: Directly in front of the
entrance, there’s a cozy outdoor seating area. The tables and chairs are
designed with playful elements, such as tables shaped like oversized
pastries and chairs with coffee mug backrests. The design is simplified to
avoid clutter but maintains the café’s cheerful theme. Decorative Elements:
The walls around the entrance are adorned with minimal yet vibrant murals
depicting coffee cups, cakes, and other café-themed items. There are also a
few hanging lanterns or string lights to add a warm and inviting glow.
Pathway: The pathway leading to the café entrance is made of colorful
cobblestones, but the design is straightforward and not overly intricate.
The path is lined with a few decorative plants and shrubs with bright,
cartoonish features, but kept simple. Adjacent Features: To the sides of the
entrance, you can see parts of the nearby areas, such as the adventure
tourism shop and the retro appliance store
example_title: Café outdoor scene
output:
url: samples/sample_1.png
- text: A photo of a flower, in the style of LBRTR
output:
url: images/example_n13kg3os6.png
- text: a photo of a dog, in the style of LBRTR
output:
url: images/example_mr52j6uo8.png
---
# Flux Samhtr Remastered
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `LBRTR` 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('lichorosario/flux-samhtr-remastered', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```
<Gallery />
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) |