SDXL LoRA DreamBooth - chechiamah/proceduralgenerationforms

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a map of a city with a repeating pattern of blue, green, and yellow colors. The blue and green colors are scattered across the map, creating a mosaic-like effect. The yellow and blue colors are larger and more prominent, with some areas being darker and others being lighter. The map appears to be overlaid on top of a larger map, with a white background. The overall color scheme of the map is predominantly blue, with hints of green and yellow.

Prompt
in the style of <s0><s1>, procedural generation; The image is a 3D map of a small island in the middle of a body of water. The island is covered in green and brown vegetation, with patches of blue and green. The water is a deep blue-green color, and there are several small islands scattered throughout the island. In the center of the island, there is a large white area with a red dot in the center, which appears to be a small town or village. The red dot is likely a location marker or a marker for a specific location. The map is set against a dark blue background, making the colors of the vegetation stand out.

Prompt
in the style of <s0><s1>, procedural generation; The image is an abstract digital art piece that appears to be made up of different colors and shapes. The background is divided into different shades of blue, green, orange, and yellow, creating a chaotic and dynamic composition. In the center of the image, there is a large, dark blue blob that is the focal point. The blob is outlined in a lighter shade of blue and has a pink dot in the middle. Surrounding the blob are various shapes and lines that create a sense of depth and dimension. The overall effect is one of movement and energy.

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a map of the world, with different colors representing different regions. The colors are predominantly green, yellow, and blue, with some areas being darker and others being lighter. The map appears to be a topographic representation of the continents and oceans, with the majority of the colors being green and the majority being yellow.\n\nThe map is divided into different sections, with each section having a different color - yellow, orange, blue, and green. The yellow section is in the center of the map, with a darker shade of green on the left side and a lighter shade of blue on the right side. The blue section is on the top right corner, and the green section is at the bottom left corner. There are also several smaller blue areas scattered throughout the map. The overall color scheme of the image is warm and earthy, with shades of yellow, green, and orange.

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a map of a small island in the middle of a blue ocean. The island is made up of different shades of green and pink, with a darker shade of green on the top and lighter shades of pink on the bottom. In the center of the island, there is a large white circle with a small white dot in the center. The circle is surrounded by smaller pink and green areas. On the right side of the image, there are two smaller pink areas, one on the left side and one in the bottom right corner. The background is a solid blue color.

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a map of the island of Santorini, Greece. The map is color-coded, with different shades of green, beige, and brown representing different areas of the country. The green areas are darker in color, while the beige areas are lighter in color. The brown areas are scattered throughout the map, with some areas being darker and others being lighter.\n\nThe map is set against a blue background, with the ocean visible in the top left corner. There are also several smaller islands scattered throughout, including a small island in the center of the map. The islands are outlined in white, and there are a few smaller islands on the top right corner of the image. Overall, the map appears to be a detailed representation of the Mediterranean Sea, with various geographical features such as mountains, rivers, and islands visible.

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a map of the Mediterranean Sea, which is a deep blue color. The map is color-coded, with different shades of green, orange, and yellow representing different areas of the sea. The green areas are densely packed together, while the orange areas are scattered throughout the map. The yellow areas are larger and more densely packed, with some areas appearing darker and others appearing lighter.\n\nThe map also shows the extent of the ocean floor, with the majority of the land covered in green and orange areas. There are also some areas that appear to be smaller and more flat, with a few smaller areas scattered throughout. The ocean floor is also colored in shades of blue and green, with hints of orange and yellow. The overall color scheme of the map is predominantly blue, green, and orange.

Prompt
in the style of <s0><s1>, simplex noise terrain generation

Prompt
in the style of <s0><s1>, voronoi noise terrain generation, landform

Prompt
in the style of <s0><s1>, voronoi noise terrain generation, abstract pattern

Prompt
in the style of <s0><s1>, pixelated grid landform, cellular automata; The image is a pixelated map of the world. The map is made up of small squares of different colors, including blue, green, orange, and gray. The squares are arranged in a grid-like pattern, with some overlapping each other. In the center of the map, there is a large orange flower with a yellow center. The flower appears to be floating in the air, with its petals spread out. The background of the image is dark blue, making the colors of the flower stand out.

Prompt
in the style of <s0><s1>, pixelated grid landform, cellular automata; The image is a pixelated map of a city or town. The map is made up of small squares of different colors, including green, blue, and gray. The squares are arranged in a grid-like pattern, with some overlapping each other. In the center of the map, there is a blue square with a white outline. The blue square is slightly larger than the green square, and it appears to be floating in the air. The gray squares are scattered throughout the map. The overall color scheme of the image is green, gray, and blue.

Prompt
in the style of <s0><s1>, pixelated grid landform, cellular automata

Prompt
in the style of <s0><s1>, simplex noise terrain generation; The image is a satellite view of a large body of water, possibly a lake or a river. The water is a deep blue color and appears to be calm and still. The surface of the water is covered in patches of green and yellow vegetation, with some areas appearing to be densely packed together. The vegetation is mostly green, with patches of yellow and brown scattered throughout. The image is taken from a top-down perspective, looking down on the water and the surrounding area. The overall color scheme of the image is predominantly green, blue, and yellow.

Prompt
in the style of <s0><s1>, procedural generation

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a map of the world in a camouflage pattern. The map is divided into different shades of blue, green, yellow, and brown, creating a camouflage-like effect. The colors are arranged in a way that creates a sense of depth and dimension, with the blue representing the ocean and the green representing the land. The brown represents the land, while the yellow represents the sea. The overall color scheme of the map is predominantly blue and green, with some areas being darker and others being lighter.

Prompt
in the style of <s0><s1>, perlin noise terrain generation; The image is a seamless pattern with a camouflage-like design. The background is a combination of brown and yellow colors, with the majority of the colors being a darker shade of brown. The pattern is made up of small, irregularly shaped spots in various shades of yellow and purple. The spots are arranged in a random, overlapping manner, creating a sense of depth and dimension. The overall effect is a textured, abstract design with a mix of different shades and textures.

Prompt
in the style of <s0><s1>, simplex noise terrain generation; The image is a square with a green background and a white border. In the center of the square, there is a map of the world in a pixelated style. The map is divided into different shades of green, yellow, and blue, with some areas in gray and others in blue. The colors are arranged in a way that creates a mosaic-like effect, with the green being the dominant color and the yellow being the smallest. The blue areas are scattered throughout the map, creating a sense of depth and dimension. The overall color scheme of the image is predominantly green and yellow, with hints of blue and gray.'

Model description

These are chechiamah/proceduralgenerationforms 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 proceduralgenerationforms.safetensors here 💾.
- Place it on your models/Lora folder.
- On AUTOMATIC1111, load the LoRA by adding <lora:proceduralgenerationforms:1> to your prompt. On ComfyUI just load it as a regular LoRA.
Embeddings: download proceduralgenerationforms_emb.safetensors here 💾.
- Place it on it on your embeddings folder
- Use it by adding proceduralgenerationforms_emb to your prompt. For example, in the style of proceduralgenerationforms_emb (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('chechiamah/proceduralgenerationforms', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='chechiamah/proceduralgenerationforms', filename='proceduralgenerationforms_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

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.

chechiamah
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proceduralgenerationforms