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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-schnell |
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pipeline_tag: text-to-image |
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library_name: diffusers |
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inference: |
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parameters: |
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width: 1024 |
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height: 1024 |
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widget: |
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- text: A photo of a flower |
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output: |
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url: images/example_n13kg3os6.png |
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- text: a photo of a dog |
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output: |
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url: images/example_mr52j6uo8.png |
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- text: >- |
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A photo of a chair in the dark, strong backlighting rim lighting |
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output: |
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url: images/example_3gbsw7i05.png |
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--- |
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# Flux Aluber Itura |
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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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There is no trigger word |
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<Gallery /> |
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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('lichorosario/flux-samhtr-remastered', 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) |
