SDXL LoRA DreamBooth - henrysun9074/north-atlantic-right-whale-lora-mk2

Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, facing down, callosities, clear water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, clear blue water, breathing, visible tail, callosities
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, mostly submerged, obscured, rippling water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, breathing, bright blue water, submerged tail, splashes
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, dark water, mostly submerged, facing down
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, clear, visible tail, submerged, callosities, still water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, blue water, facing down, skinny
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, rippling water, realistic, callosities, reflection
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, blue water, still water, birds-eye view, submerged tail
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, mostly submerged, deep blue water, ripples, callosities, breathing
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, visible tail, realistic, clear blue water, exposed
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, facing up, callosities, splashes, clear blue water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, dark water, facing down, callosities, submerged
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, clear blue water, exposed, facing down, realistic
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, sideways, callosities, ripples, exposed midsection
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, callosities, facing down, ripples, realistic
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, submerged tail, clear water, still, realistic
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, visible tail, still water, ripples, exposed, realistic
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, splashes, sideways, visible tail, realistic
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, dark water, very obscured, submerged, facing up
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, sideways, clear water, blowhole, tail fluke
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, callosities, rippling water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, callosities, still water, submerged pectoral fins, small
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, breathing, visible submerged fluke, callosities
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, splashes, partially submerged, deep blue water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, obscured, dark water
Prompt
A realistic aerial drone image of a <s0><s1> swimming in the ocean, out of water, dark water, still water

Model description

These are henrysun9074/north-atlantic-right-whale-lora-mk2 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/north-atlantic-right-whale-lora-mk2', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='henrysun9074/north-atlantic-right-whale-lora-mk2', filename='north-atlantic-right-whale-lora-mk2_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('A realistic aerial drone image of a <s0><s1> swimming in the ocean').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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