| | --- |
| | 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) |
| |
|
