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Flux-Seamless-Texture-LoRA

Text-to-Image
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lora
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How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("gokaygokay/Flux-Seamless-Texture-LoRA")

prompt = "smlstxtr, A pattern of crystalline formations in amethyst purple, seamless texture"
image = pipe(prompt).images[0]

Usage

smlstxtr, <<your prompt>>, seamless texture for best results

This LoRA is trained with FAL Fast LoRA Trainer .

Prompt
smlstxtr, A pattern of crystalline formations in amethyst purple, seamless texture
Prompt
smlstxtr, A surface of rough sandstone with wind-carved ripples, seamless texture
Prompt
smlstxtr, A pattern of interlocked gears in various sizes and brass finish, seamless texture
Prompt
smlstxtr, A surface of bubbling mud with earthy brown tones, seamless texture
Prompt
smlstxtr, A network of tree bark with deep furrows and moss patches, seamless texture
Prompt
smlstxtr, A dense cluster of white snowflakes on dark blue background, seamless texture
Prompt
smlstxtr, A pattern of overlapping dragon scales in metallic green, seamless texture
Prompt
smlstxtr, A surface of brushed aluminum with linear scratches, seamless texture
Prompt
smlstxtr, A collection of colorful beach pebbles packed tightly together, seamless texture
Prompt
smlstxtr, A field of tall grass swaying in multiple directions, seamless texture
Prompt
smlstxtr, A weathered concrete wall with exposed aggregate and cracks, seamless texture
Prompt
smlstxtr, A network of glowing green circuit board traces on black, seamless texture
Prompt
smlstxtr, A dense carpet of autumn leaves in red and orange hues, seamless texture
Prompt
smlstxtr, A mosaic pattern of iridescent glass tiles in turquoise and purple, seamless texture
Prompt
smlstxtr, A rusty metal surface with peeling paint and corrosion spots, seamless texture

Citation and attribution

This model release is maintained by Gâkay Aydoğan. If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.

@software{aydogan2024flux_seamless_texture_lora,
  author = {Aydoğan, Gâkay},
  title = {{Flux-Seamless-Texture-LoRA}},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/gokaygokay/Flux-Seamless-Texture-LoRA},
  note = {Model repository; cite the base model and upstream datasets as required.}
}
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