--- tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - lora - template:sd-lora widget: - text: An image of a 28 year old man output: url: image-0.png - text: An image of a 28 year old man output: url: image-1.png - text: An image of a 28 year old man output: url: image-2.png - text: An image of a 28 year old man with a goofy face expression output: url: image-3.png - text: An image of a 28 year old man with a sad face expression output: url: image-4.png - text: An sitting portrait image of a 28 year old man output: url: image-5.png - text: An image of a 28 year old man with a smile output: url: image-6.png - text: An image of a 28 year old man with a serious face expression output: url: image-7.png - text: An image of a 28 year old man with a serious face expression output: url: image-8.png - text: An image of a 28 year old man with a happy face expression holding a cat output: url: image-9.png - text: An image of a 28 year old man with an angry face expression output: url: image-10.png - text: An image of a 28 year old man output: url: image-11.png - text: An image of a 28 year old man in the mountains output: url: image-12.png - text: An image of a 28 year old man outdoors output: url: image-13.png - text: A close-up image of a 28 year old man with a serious face expression output: url: image-14.png - text: A close-up image of a 28 year old man with a goofy face expression output: url: image-15.png - text: Eddie Redmayne man output: url: image-16.png base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: Eddie Redmayne man license: openrail++ --- # SDXL LoRA DreamBooth - domipapp/domiai2-0 ## Model description ### These are domipapp/domiai2-0 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 **[`domiai2-0.safetensors` here ๐Ÿ’พ](/domipapp/domiai2-0/blob/main/domiai2-0.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 **[`domiai2-0_emb.safetensors` here ๐Ÿ’พ](/domipapp/domiai2-0/blob/main/domiai2-0_emb.safetensors)**. - Place it on it on your `embeddings` folder - Use it by adding `domiai2-0_emb` to your prompt. For example, `Eddie Redmayne man domiai2-0_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('domipapp/domiai2-0', weight_name='pytorch_lora_weights.safetensors') embedding_path = hf_hub_download(repo_id='domipapp/domiai2-0', filename='domiai2-0_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('Eddie Redmayne man ').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](/domipapp/domiai2-0/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.