--- base_model: stabilityai/stable-diffusion-3.5-large library_name: diffusers license: other tags: - text-to-image - diffusers-training - diffusers - lora - template:sd-lora - sd3.5-large - sd3.5 - sd3.5-diffusers - text-to-image - diffusers-training - diffusers - lora - template:sd-lora - sd3.5-large - sd3.5 - sd3.5-diffusers instance_prompt: Frog, yarn art style widget: [] --- # SD3.5-Large DreamBooth LoRA - linoyts/yarn-art-30-37-prodigy ## Model description These are linoyts/yarn-art-30-37-prodigy DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-large. 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 `Frog, yarn art style` to trigger the image generation. ## Download model [Download the *.safetensors LoRA](linoyts/yarn-art-30-37-prodigy/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-large, torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('linoyts/yarn-art-30-37-prodigy', weight_name='pytorch_lora_weights.safetensors') image = pipeline('Frog, yarn art style').images[0] ``` ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/linoyts/yarn-art-30-37-prodigy/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-3.5-large/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]