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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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- replicate |
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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: TOK |
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--- |
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# Bahar_Fluxxxxxx |
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<Gallery /> |
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## About this LoRA |
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This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI. |
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It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train |
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## Trigger words |
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You should use `TOK` 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('prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0', torch_dtype=torch.float16).to('cuda') |
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pipeline.load_lora_weights('codermert/bahar_fluxxxxxx', 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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## Training details |
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- Steps: 2200 |
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- Learning rate: 0.0004 |
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- LoRA rank: 16 |
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## Contribute your own examples |
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You can use the [community tab](https://huggingface.co./codermert/bahar_fluxxxxxx/discussions) to add images that show off what you’ve made with this LoRA. |
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