metadata

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

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

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