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--- |
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license: apache-2.0 |
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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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- replicate |
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base_model: "AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace" |
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pipeline_tag: text-to-image |
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instance_prompt: ROSA Fluxenburg |
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widget: |
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- text: >- |
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A photo of the revolutionary ROSA Fluxenburg as a punk in London 1980s |
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output: |
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url: RosaBrit4.webp |
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- text: A photo of the revolutionary ROSA Fluxenburg as a punk in London 1980s |
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output: |
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url: RosaBrit2.webp |
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- text: >- |
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A photo of the revolutionary ROSA Fluxenburg... |
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output: |
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url: RosaWillRise.png |
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--- |
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<Gallery /> |
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# ROSA LUXEMBURG FLUXenburg Low-Rank Adapter (LoRA) V.2 |
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The great revolutionary rises from under sea! |
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Meet face-to-face a reincorporealized and (within your own spirit) resurrected visionary pioneer & hero of the classless future, and a martyr for the its cause, now becoming revitalized everyplace! |
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**Click over to YouTube** via [this exclusive link](https://youtu.be/P6-BRSNHLhU?si=7yUjNn8yGpqDlrOg) to watch **LIVING UNDER C.**: our little musical film starring many versions of **Rosa Luxenburg**, and of others besides. The film includes several songs, much archival footage and imagery re-interpreted by trained models, synthetic singing, real minimally processed singing, quotes from political theory and from poetry, and much else! <br> |
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It seems this LoRA, trained on the **Colossus 2.1 Dedistilled Flux trained+merged model by AfroMan4Peace**, available [here](https://huggingface.co/AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace) in a diffusers format and [here at CivitAI](https://civitai.com/models/833086/colossus-project-flux), could be used fairly well with any version of FLUX. |
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Inference on Schnell-based models seems to work better with this adapter than with any identity-transferring LoRA's we've tried that were trained on a distilled Flux Dev. |
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<!-- <Gallery /> --> |
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## Trigger words |
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You should use `ROSA Fluxenburg` to trigger the image generation. |
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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('AlekseyCalvin/Rosa_FLUXenburg_LoRA_v2_Dedistilled-Trained_SilverAgeLiberators', 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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