| --- |
| tags: |
| - stable-diffusion-xl |
| - stable-diffusion-xl-diffusers |
| - text-to-image |
| - diffusers |
| - lora |
| - template:sd-lora |
| widget: |
| - text: a black and white photo of a bridge over a stream in the style of <s0><s1> |
| output: |
| url: image-0.png |
| - text: a woman holding a bouquet of flowers in the style of <s0><s1> |
| output: |
| url: image-1.png |
| - text: a man and a woman standing in a living room in the style of <s0><s1> |
| output: |
| url: image-2.png |
| - text: a woman wearing a green jacket and a bow tie in the style of <s0><s1> |
| output: |
| url: image-3.png |
| - text: a woman in a pink shirt posing for a photo in the style of <s0><s1> |
| output: |
| url: image-4.png |
| - text: a red brick house with a large chimney in the style of <s0><s1> |
| output: |
| url: image-5.png |
| - text: a tree with a large branch in the style of <s0><s1> |
| output: |
| url: image-6.png |
| - text: a bunch of colorful candies on a white surface in the style of <s0><s1> |
| output: |
| url: image-7.png |
| - text: a pile of candy on a table in the style of <s0><s1> |
| output: |
| url: image-8.png |
| - text: a red surface with a white object in it in the style of <s0><s1> |
| output: |
| url: image-9.png |
| - text: a close up of a monkey's face with a red nose in the style of <s0><s1> |
| output: |
| url: image-10.png |
| - text: a fighter jet flying over a mountain range in the style of <s0><s1> |
| output: |
| url: image-11.png |
| - text: a sailboat floating on a lake surrounded by trees in the style of <s0><s1> |
| output: |
| url: image-12.png |
| - text: a large pile of peppers and green peppers in the style of <s0><s1> |
| output: |
| url: image-13.png |
| - text: a black and white photo of a small crater on mars in the style of <s0><s1> |
| output: |
| url: image-14.png |
| - text: an aerial view of a town with a river and buildings in the style of <s0><s1> |
| output: |
| url: image-15.png |
| - text: a small airplane is seen in the sky in the style of <s0><s1> |
| output: |
| url: image-16.png |
| - text: a clock and a book on a table in the style of <s0><s1> |
| output: |
| url: image-17.png |
| - text: a black and white image of a number of numbers in the style of <s0><s1> |
| output: |
| url: image-18.png |
| - text: an aerial view of the oil refinery in the 1950s in the style of <s0><s1> |
| output: |
| url: image-19.png |
| - text: a man and woman standing in a living room in the style of <s0><s1> |
| output: |
| url: image-20.png |
| - text: an aerial view of a parking lot and a road in the style of <s0><s1> |
| output: |
| url: image-21.png |
| - text: a man dressed in a costume sitting on the ground in the style of <s0><s1> |
| output: |
| url: image-22.png |
| - text: an aerial view of an airport with several planes in the style of <s0><s1> |
| output: |
| url: image-23.png |
| - text: a truck is driving through the desert in black and white in the style of <s0><s1> |
| output: |
| url: image-24.png |
| - text: a fighter jet is parked on a runway in the snow in the style of <s0><s1> |
| output: |
| url: image-25.png |
| - text: an aerial view of a tank in the desert in the style of <s0><s1> |
| output: |
| url: image-26.png |
| - text: an old black and white photo of a car in the desert in the style of <s0><s1> |
| output: |
| url: image-27.png |
| - text: an aerial view of an army vehicle and an armored personnel carrier parked |
| in the desert in the style of <s0><s1> |
| output: |
| url: image-28.png |
| - text: a black and white photo of trucks in the desert in the style of <s0><s1> |
| output: |
| url: image-29.png |
| - text: an m60a1 tank is seen in the desert in the style of <s0><s1> |
| output: |
| url: image-30.png |
| - text: an m113a3 armored personnel carrier (APC) is seen in the desert in the style |
| of <s0><s1> |
| output: |
| url: image-31.png |
| - text: a black and white photo of a tank in the desert in the style of <s0><s1> |
| output: |
| url: image-32.png |
| - text: a black and white photo of a truck and a car in the style of <s0><s1> |
| output: |
| url: image-33.png |
| - text: a black and white photo of a fighter jet in the style of <s0><s1> |
| output: |
| url: image-34.png |
| - text: black and white photo of boats on the shore in the style of <s0><s1> |
| output: |
| url: image-35.png |
| - text: a black and white color palette with a white and black in the style of <s0><s1> |
| output: |
| url: image-36.png |
| - text: a blue car parked in front of a house in the style of <s0><s1> |
| output: |
| url: image-37.png |
| - text: a graph paper with the coordinates of the coordinates in the style of <s0><s1> |
| output: |
| url: image-38.png |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 |
| instance_prompt: in the style of <s0><s1> |
| license: openrail++ |
| --- |
| |
| # SDXL LoRA DreamBooth - lfischbe/3sipi |
|
|
| <Gallery /> |
|
|
| ## Model description |
|
|
| ### These are lfischbe/3sipi 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 **[`3sipi.safetensors` here 💾](/lfischbe/3sipi/blob/main/3sipi.safetensors)**. |
| - Place it on your `models/Lora` folder. |
| - On AUTOMATIC1111, load the LoRA by adding `<lora:3sipi:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/). |
| - *Embeddings*: download **[`3sipi_emb.safetensors` here 💾](/lfischbe/3sipi/blob/main/3sipi_emb.safetensors)**. |
| - Place it on it on your `embeddings` folder |
| - Use it by adding `3sipi_emb` to your prompt. For example, `in the style of 3sipi_emb` |
| (you need both the LoRA and the embeddings as they were trained together for this LoRA) |
| |
| |
| ## Use it with the [🧨 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('lfischbe/3sipi', weight_name='pytorch_lora_weights.safetensors') |
| embedding_path = hf_hub_download(repo_id='lfischbe/3sipi', filename='3sipi_emb.safetensors' repo_type="model") |
| state_dict = load_file(embedding_path) |
| pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer) |
| pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2) |
| |
| image = pipeline('in the style of <s0><s1>').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` → use `<s0><s1>` in your prompt |
|
|
|
|
|
|
| ## Details |
| All [Files & versions](/lfischbe/3sipi/tree/main). |
|
|
| The weights were trained using [🧨 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. |
|
|
|
|
