diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..680b33000c183935de740b70479b4fcc9c7dfcab 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +image_0.png filter=lfs diff=lfs merge=lfs -text +image_1.png filter=lfs diff=lfs merge=lfs -text +image_2.png filter=lfs diff=lfs merge=lfs -text +image_3.png filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..019859cc24fc2a2375cb6450ddb6db74dc2f0b6d --- /dev/null +++ b/README.md @@ -0,0 +1,90 @@ +--- +base_model: stabilityai/stable-diffusion-3.5-medium +library_name: diffusers +license: other +instance_prompt: =A ID card ICAO photo +widget: +- text: A ID card ICAO photo + output: + url: image_0.png +- text: A ID card ICAO photo + output: + url: image_1.png +- text: A ID card ICAO photo + output: + url: image_2.png +- text: A ID card ICAO photo + output: + url: image_3.png +tags: +- text-to-image +- diffusers-training +- diffusers +- lora +- template:sd-lora +- sd3 +- sd3-diffusers +--- + + + + +# SD3 DreamBooth LoRA - izangalefacephi/std3 + + + +## Model description + +These are izangalefacephi/std3 DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-medium. + +The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md). + +Was LoRA for the text encoder enabled? False. + +## Trigger words + +You should use `=A ID card ICAO photo` to trigger the image generation. + +## Download model + +[Download the *.safetensors LoRA](izangalefacephi/std3/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(stabilityai/stable-diffusion-3.5-medium, torch_dtype=torch.float16).to('cuda') +pipeline.load_lora_weights('izangalefacephi/std3', weight_name='pytorch_lora_weights.safetensors') +image = pipeline('A ID card ICAO photo').images[0] +``` + +### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke + +- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/izangalefacephi/std3/blob/main/diffusers_lora_weights.safetensors)**. + - Rename it and place it on your `models/Lora` folder. + - On AUTOMATIC1111, load the LoRA by adding `` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/). + +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/stabilityai/stable-diffusion-3-medium/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..53b72768f0bb6b63b6b099f5afea8af3cccc63fe 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