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..1def4d04ce4d65776ccdd06fb04aae71090bbf5d --- /dev/null +++ b/README.md @@ -0,0 +1,96 @@ +--- +tags: +- stable-diffusion-xl +- stable-diffusion-xl-diffusers +- diffusers-training +- text-to-image +- diffusers +- lora +- template:sd-lora +widget: + + - text: 'litograph in the style of , showing a beautiful bird of paradise' + output: + url: + "image_0.png" + + - text: 'litograph in the style of , showing a beautiful bird of paradise' + output: + url: + "image_1.png" + + - text: 'litograph in the style of , showing a beautiful bird of paradise' + output: + url: + "image_2.png" + + - text: 'litograph in the style of , showing a beautiful bird of paradise' + output: + url: + "image_3.png" + +base_model: stabilityai/stable-diffusion-xl-base-1.0 +instance_prompt: litograph in the style of , showing a beautiful bird of paradise +license: openrail++ +--- + +# SDXL LoRA DreamBooth - m7n/dierenleven-sdxl-lora-001 + + + +## Model description + +### These are m7n/dierenleven-sdxl-lora-001 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. + +## Download model + +### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke + +- **LoRA**: download **[`dierenleven-sdxl-lora-001.safetensors` here ๐Ÿ’พ](/m7n/dierenleven-sdxl-lora-001/blob/main/dierenleven-sdxl-lora-001.safetensors)**. + - 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/). +- *Embeddings*: download **[`dierenleven-sdxl-lora-001_emb.safetensors` here ๐Ÿ’พ](/m7n/dierenleven-sdxl-lora-001/blob/main/dierenleven-sdxl-lora-001_emb.safetensors)**. + - Place it on it on your `embeddings` folder + - Use it by adding `dierenleven-sdxl-lora-001_emb` to your prompt. For example, `litograph in the style of dierenleven-sdxl-lora-001_emb, showing a beautiful bird of paradise` + (you need both the LoRA and the embeddings as they were trained together for this LoRA) + + +## Use it with the [๐Ÿงจ diffusers library](https://github.com/huggingface/diffusers) + +```py +from diffusers import AutoPipelineForText2Image +import torch +from huggingface_hub import hf_hub_download +from safetensors.torch import load_file + +pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda') +pipeline.load_lora_weights('m7n/dierenleven-sdxl-lora-001', weight_name='pytorch_lora_weights.safetensors') +embedding_path = hf_hub_download(repo_id='m7n/dierenleven-sdxl-lora-001', filename='dierenleven-sdxl-lora-001_emb.safetensors', repo_type="model") +state_dict = load_file(embedding_path) +pipeline.load_textual_inversion(state_dict["clip_l"], token=["", ""], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer) +pipeline.load_textual_inversion(state_dict["clip_g"], token=["", ""], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2) + +image = pipeline('litograph in the style of , showing a beautiful bird of paradise').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) + +## Trigger words + +To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens: + +to trigger concept `TOK` โ†’ use `` in your prompt + + + +## Details +All [Files & versions](/m7n/dierenleven-sdxl-lora-001/tree/main). + +The weights were trained using [๐Ÿงจ diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py). + +LoRA for the text encoder was enabled. 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