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--- |
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license: other |
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license_name: flux-1-dev-non-commercial-license |
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md |
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language: |
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- en |
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tags: |
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- flux |
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- diffusers |
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- lora |
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base_model: "black-forest-labs/FLUX.1-dev" |
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pipeline_tag: text-to-image |
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instance_prompt: r3dcma |
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widget: |
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- 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" |
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output: |
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url: "https://cdn-uploads.huggingface.co/production/uploads/66bde22dd9a797412206b774/SF3gufcU46Aegmna7KKcI.png" |
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--- |
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<Gallery/> |
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# Red Cinema |
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Trained on Replicate using: |
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https://replicate.com/ostris/flux-dev-lora-trainer/train |
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## Trigger words |
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You should use `r3dcma` to trigger the image generation. |
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## Prompt Structure |
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`r3dcma`, [Prompt],`in the style of r3dcma` |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') |
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pipeline.load_lora_weights('HalimAlrasihi/red-cinema', weight_name='lora.safetensors') |
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image = pipeline('your prompt').images[0] |
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``` |
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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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