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@@ -6,9 +6,47 @@ language:
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  - en
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  tags:
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  - flux
 
 
 
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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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  ---
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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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  - 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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+ # widget:
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+ # - text: >-
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+ # prompt
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+ # output:
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+ # url: https://...
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+ instance_prompt: "2004"
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  ---
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+ # Flux 2004
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+
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+ <Gallery />
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+
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+ Run on Replicate:
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+
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+ https://replicate.com/fofr/flux-2004
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+
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  Trained on Replicate using:
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+
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  https://replicate.com/ostris/flux-dev-lora-trainer/train
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+
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+ ## Trigger words
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+ You should use `2004` to trigger the image generation.
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+
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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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+
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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('fofr/flux-2004', weight_name='lora.safetensors')
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+ image = pipeline('your prompt').images[0]
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+ ```
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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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+