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SDXL LoRA DreamBooth - henrysun9074/drone-humpback-whale-lora-1

Prompt
Drone image of a <s0><s1> in the ocean, humpback whale, clear water, visible pectoral fins, ultra realistic, floating ice
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, humpback whale
Prompt
Drone image of a <s0><s1> in the ocean, visible pectoral fins, ultra realistic, dark water, humpback whale
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, light blue water, still water, humpback whale
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, still water, humpback whale
Prompt
Drone image of a <s0><s1> in the ocean, clear water, ultra realistic, small ripples, humpback whale
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, one underwater
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, floating ice
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, floating ice
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, submerged pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, splashes
Prompt
Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
Prompt
Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, small ripples

Model description

These are henrysun9074/drone-humpback-whale-lora-1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

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Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

Use it with the 🧨 diffusers library

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('henrysun9074/drone-humpback-whale-lora-1', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='henrysun9074/drone-humpback-whale-lora-1', filename='drone-humpback-whale-lora-1_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('Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

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.

The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.

LoRA for the text encoder was enabled. False.

Pivotal tuning was enabled: True.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

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