| | ---
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| | license: other
|
| | license_name: flux-1-dev-non-commercial-license
|
| | license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
|
| | language:
|
| | - en
|
| | tags:
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| | - flux
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| | - diffusers
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| | - lora
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| | - replicate
|
| | base_model: "black-forest-labs/FLUX.1-dev"
|
| | pipeline_tag: text-to-image
|
| |
|
| |
|
| |
|
| |
|
| |
|
| | instance_prompt: tomu
|
| | ---
|
| |
|
| | # Tomu Lora
|
| |
|
| | <!-- <Gallery /> -->
|
| |
|
| | Trained on Replicate using:
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| |
|
| | https://replicate.com/ostris/flux-dev-lora-trainer/train
|
| |
|
| |
|
| | ## Trigger words
|
| | You should use `tomu` to trigger the image generation.
|
| |
|
| |
|
| | ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
|
| |
|
| | ```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('sujalron/tom-loru', weight_name='flux_train_replicate.safetensors')
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| | image = pipeline('your prompt').images[0]
|
| | ```
|
| |
|
| | 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) |
