diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a4f5fc71d770960cf888fafc59fba70927228683 --- /dev/null +++ b/README.md @@ -0,0 +1,72 @@ +--- +base_model: black-forest-labs/FLUX.1-dev +library_name: diffusers +license: other +instance_prompt: a photo of xjiminx +widget: [] +tags: +- text-to-image +- diffusers-training +- diffusers +- lora +- flux +- flux-diffusers +- template:sd-lora +--- + + + + +# Flux DreamBooth LoRA - xgemstarx/subset_256_step_16384_model + + + +## Model description + +These are xgemstarx/subset_256_step_16384_model DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev. + +The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Flux diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux.md). + +Was LoRA for the text encoder enabled? False. + +## Trigger words + +You should use `a photo of xjiminx` to trigger the image generation. + +## Download model + +[Download the *.safetensors LoRA](xgemstarx/subset_256_step_16384_model/tree/main) 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('xgemstarx/subset_256_step_16384_model', weight_name='pytorch_lora_weights.safetensors') +image = pipeline('a photo of xjiminx').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) + +## License + +Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). + + +## Intended uses & limitations + +#### How to use + +```python +# TODO: add an example code snippet for running this diffusion pipeline +``` + +#### Limitations and bias + +[TODO: provide examples of latent issues and potential remediations] + +## Training details + +[TODO: describe the data used to train the model] \ No newline at end of file diff --git a/checkpoint-1000/optimizer.bin b/checkpoint-1000/optimizer.bin new file mode 100644 index 0000000000000000000000000000000000000000..b1b28974850374295d1ba74df8f828bd105dd7cb --- /dev/null +++ b/checkpoint-1000/optimizer.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:057e4004ead38ffe14c41add65e8a7446fd8b7e0b7971c4921a08543c292f5e9 +size 79235394 diff --git a/checkpoint-1000/pytorch_lora_weights.safetensors b/checkpoint-1000/pytorch_lora_weights.safetensors new file mode 100644 index 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