--- tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - lora - template:sd-lora widget: - text: a black cat with gold and blue eyes in the style of output: url: image-0.png - text: a man on a horse in the water at night in the style of output: url: image-1.png - text: a man in a cloak standing in a pond with stars in the style of output: url: image-2.png - text: a woman standing in front of a door with stars in the sky in the style of output: url: image-3.png - text: the legend of zelda by joshua in the style of output: url: image-4.png - text: a woman in a black cloak standing in the middle of a forest in the style of output: url: image-5.png - text: a man standing on the rocks in the ocean at night in the style of output: url: image-6.png - text: the legend of zelda, the legend of zelda wallpaper in the style of output: url: image-7.png - text: the legend of zelda - moonlight in the style of output: url: image-8.png - text: the legend of zelda wind waker wallpaper in the style of output: url: image-9.png - text: a man in a forest with a sword and flowers in the style of output: url: image-10.png - text: a person riding a horse in a field with flowers in the style of output: url: image-11.png - text: a woman in a boat on a river in the woods in the style of output: url: image-12.png - text: a man riding a horse in the water with stars in the style of output: url: image-13.png - text: the witcher 3 - the starry night in the style of output: url: image-14.png - text: the legend of zelda in the style of output: url: image-15.png - text: the legend of zelda - twilight princess in the style of output: url: image-16.png - text: the lord of the rings by joshua klein in the style of output: url: image-17.png - text: the legend of zelda breath of the wild in the style of output: url: image-18.png - text: a man on a horse is walking in the woods at night in the style of output: url: image-19.png - text: a man in armor sitting in the middle of a field with flowers and stars in the style of output: url: image-20.png - text: the legend of zelda by joshua in the style of output: url: image-21.png - text: a woman with a sword in the middle of flowers in the style of output: url: image-22.png - text: a woman with a sword in the middle of flowers in the style of output: url: image-23.png - text: a woman sitting on a rock in front of a castle in the style of output: url: image-24.png - text: a wolf and a woman standing in front of the moon in the style of output: url: image-25.png base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: in the style of license: openrail++ --- # SDXL LoRA DreamBooth - WalkerSpace/blue-zelda-style ## Model description ### These are WalkerSpace/blue-zelda-style 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 **[`blue-zelda-style.safetensors` here ๐Ÿ’พ](/WalkerSpace/blue-zelda-style/blob/main/blue-zelda-style.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 **[`blue-zelda-style_emb.safetensors` here ๐Ÿ’พ](/WalkerSpace/blue-zelda-style/blob/main/blue-zelda-style_emb.safetensors)**. - Place it on it on your `embeddings` folder - Use it by adding `blue-zelda-style_emb` to your prompt. For example, `in the style of blue-zelda-style_emb` (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('WalkerSpace/blue-zelda-style', weight_name='pytorch_lora_weights.safetensors') embedding_path = hf_hub_download(repo_id='WalkerSpace/blue-zelda-style', filename='blue-zelda-style_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('in the style of ').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](/WalkerSpace/blue-zelda-style/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. False. Pivotal tuning was enabled: True. Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.