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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-dev"
pipeline_tag: text-to-image
instance_prompt: r3dcma
widget:
- text: "r3dcma, 35mm movie still; A colossal waterfall cascades from towering cliffs into a misty abyss below. At the edge of the precipice, a warrior meditates, harnessing the raw energy of nature, as the roar of the water drowns out all other sounds.; in the style of r3dcma"
output:
url: "https://cdn-uploads.huggingface.co/production/uploads/66bde22dd9a797412206b774/SF3gufcU46Aegmna7KKcI.png"
---
<Gallery/>
# Red Cinema
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `r3dcma` to trigger the image generation.
## Prompt Structure
`r3dcma`, [Prompt],`in the style of r3dcma`
## 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('HalimAlrasihi/red-cinema', 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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