| --- |
| tags: |
| - text-to-image |
| - flux |
| - lora |
| - diffusers |
| - template:sd-lora |
| - ai-toolkit |
| base_model: black-forest-labs/FLUX.1-dev |
| instance_prompt: m_port |
| 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 |
| widget: |
| - text: Sample generation |
| output: |
| url: samples/1756802319166__000000000_0.jpg |
| - text: Sample generation |
| output: |
| url: samples/1756802337105__000000000_1.jpg |
| - text: Sample generation |
| output: |
| url: samples/1756802355203__000000000_2.jpg |
| --- |
| |
| # m_portrait |
| |
| Model trained with AI Toolkit by Ostris |
| |
| <Gallery /> |
| |
| ## Trigger words |
| |
| You should use `m_port` to trigger the image generation. |
|
|
| ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
|
|
| Weights for this model are available in Safetensors format. |
|
|
| [Download](/username/m_portrait/tree/main) them in the Files & versions tab. |
|
|
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
|
|
| ```py |
| from diffusers import AutoPipelineForText2Image |
| import torch |
| |
| pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda') |
| pipeline.load_lora_weights('username/m_portrait', weight_name='m_portrait_000000250.safetensors') |
| image = pipeline('m_port style artwork').images[0] |
| image.save("my_image.png") |
| ``` |
|
|
| 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) |
|
|
