SDXL LoRA DreamBooth - StorkelOpa/ancient-world

Prompt
ancient world painting of Earth's Early Landscape, Showcasing Towering Mountains, Deep Valleys, and Volcanic Activity, Circa 4.5 Billion Years Ago.

Prompt
ancient world painting of Earth's Early Ocean Floor, Alive with Primitive Plant Life Amidst Volcanic Rock Formations, Circa 3.5 Billion Years Ago.

Prompt
ancient world painting of Cambrian Marine Life, Featuring Trilobites and Jellyfish Amidst Ocean Flora.

Prompt
ancient world painting of the Cambrian Seabed, Featuring the Trilobites Paradoxides gracilis, Comocoryphe sulzeri, and Ptychoparia striata, with the Stalked Echinoderm Acadocrinus jani and the Algae Dalya, Set Against a Backdrop of Jellyfish in the Open Water.

Prompt
ancient world painting of Upper Silurian Marine Life, with Predatory Nautiloids and Sea Lilies in a Coral Seabed Landscape.

Prompt
ancient world painting of the Late Silurian Period, Depicting the First Land Plant Invasion with Primitive Psilophytes Colonizing Coastal Floodplains and Marshes.

Prompt
ancient world painting of Middle Devonian Flora, Featuring True Horsetails, Clubmosses, and Ferns Amidst a Primitive Landscape with Waterfalls and Rocky Terrain.

Prompt
ancient world painting of Early Devonian Aquatic Life, Depicting Osteolepis Attacking Heterostracan Armored Fish with Primitive Plants in the Foreground.

Prompt
ancient world painting of Devonian Aquatic Ecosystem, Illustrating Armored Placoderms Like Pterichthyodes and Bothrialepis Navigating the Ocean Floor.

Prompt
ancient world painting of Devonian Sea Life, Showcasing the Arthrodira Placoderms in a Dynamic Underwater Scene.

Prompt
ancient world painting of Silurian to Devonian Freshwater Fish, Depicting the Primitive Acanthodii Group with Climatius, Euthacanthus, and Parexus.

Prompt
ancient world painting of Late Devonian Landscape, Featuring Ichthyostega and the Differentiated Archaeopteris Flora with Cyclostigma Trees and Sphenophyllum Plants.

Model description

These are StorkelOpa/ancient-world 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 ancient-world.safetensors here 💾.
- Place it on your models/Lora folder.
- On AUTOMATIC1111, load the LoRA by adding <lora:ancient-world:1> to your prompt. On ComfyUI just load it as a regular LoRA.
Embeddings: download ancient-world_emb.safetensors here 💾.
- Place it on it on your embeddings folder
- Use it by adding ancient-world_emb to your prompt. For example, ancient world painting (you need both the LoRA and the embeddings as they were trained together for this LoRA)

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('StorkelOpa/ancient-world', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='StorkelOpa/ancient-world', filename='ancient-world_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('ancient world painting').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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