| --- |
| tags: |
| - text-to-image |
| - flux |
| - lora |
| - diffusers |
| - template:sd-lora |
| - ai-toolkit |
| widget: |
| - text: kxsr riding a bike |
| output: |
| url: samples/1741662294777__000003000_0.jpg |
| - text: kxsr running in the forest |
| output: |
| url: samples/1741662314402__000003000_1.jpg |
| base_model: black-forest-labs/FLUX.1-dev |
| instance_prompt: kxsr |
| 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 |
| --- |
| |
| # test1 |
| Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
| <Gallery /> |
|
|
| ## Trigger words |
|
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| You should use `kxsr` to trigger the image generation. |
|
|
| ## 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. |
|
|
| [Download](/lividtm/test1/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('lividtm/test1', weight_name='test1.safetensors') |
| image = pipeline('kxsr riding a bike').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) |
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