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--- |
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tags: |
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- text-to-image |
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- flux |
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- lora |
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- diffusers |
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- template:sd-lora |
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- ai-toolkit |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: m_port |
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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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widget: |
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- text: Sample generation |
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output: |
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url: samples/1756802319166__000000000_0.jpg |
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- text: Sample generation |
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output: |
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url: samples/1756802337105__000000000_1.jpg |
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- text: Sample generation |
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output: |
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url: samples/1756802355203__000000000_2.jpg |
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--- |
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# m_portrait |
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Model trained with AI Toolkit by Ostris |
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<Gallery /> |
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## Trigger words |
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You should use `m_port` to trigger the image generation. |
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
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Weights for this model are available in Safetensors format. |
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[Download](/username/m_portrait/tree/main) them in the Files & versions tab. |
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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.bfloat16).to('cuda') |
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pipeline.load_lora_weights('username/m_portrait', weight_name='m_portrait_000000250.safetensors') |
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image = pipeline('m_port style artwork').images[0] |
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image.save("my_image.png") |
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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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