Lumina2 DreamBooth LoRA - trained-lumina2-lora-yarn

Prompt

a puppy in a pond, yarn art style

Prompt

a puppy in a pond, yarn art style (dark env)

Prompt

a puppy in a pond, yarn art style (shiny env)

Model description

These are trained-lumina2-lora-yarn DreamBooth LoRA weights for Alpha-VLLM/Lumina-Image-2.0.

The weights were trained using DreamBooth with the Lumina2 diffusers trainer.

Trigger words

You should use yarn art style to trigger the image generation.

The following system_prompt was also used used during training (ignore if None): None.

Download model

Download the *.safetensors LoRA in the Files & versions tab.

Use it with the 🧨 diffusers library

import torch
from diffusers import Lumina2Text2ImgPipeline

pipe = Lumina2Text2ImgPipeline.from_pretrained(
    "Alpha-VLLM/Lumina-Image-2.0", torch_dtype=torch.bfloat16
).to("cuda")

pipe.load_lora_weights("trained-lumina2-lora-yarn")
prompt = "a puppy in a pond, yarn art style"

image = pipe(
    prompt, 
    negative_prompt="bad quality, worse quality, degenerate quality", 
    guidance_scale=6,
    num_inference_steps=35, 
    generator=torch.manual_seed(0)
).images[0]

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

Results

The model benefits from system_prompt. Here is a comparison across different system prompts:

No system prompt	"Dark surrounding" system prompt	"Sunny surrounding" system prompt
Original prompt: a puppy in a pond, yarn art style

Code

import torch
from diffusers import Lumina2Text2ImgPipeline

pipe = Lumina2Text2ImgPipeline.from_pretrained(
    "Alpha-VLLM/Lumina-Image-2.0", torch_dtype=torch.bfloat16
).to("cuda")


system_prompts = [
    None, 
    "You are an assistant designed to generate superior images with a dark overall theme.",
    "You are an assistant designed to generate superior images with a bright and shiny overall theme."
]

pipe.load_lora_weights("trained-lumina2-lora-yarn")
prompt = "a puppy in a pond, yarn art style"

for sp in system_prompts:
    filename = "yarn_lora"
    image = pipe(
        prompt, 
        negative_prompt="bad quality, worse quality, degenerate quality",
        system_prompt=sp, 
        guidance_scale=6,
        num_inference_steps=35, 
        generator=torch.manual_seed(0)
    ).images[0]
    if sp:
        filename += "_" + "_".join(sp.split(" ")).replace(",", "").replace(".", "")
        filename = filename[:100]
    
    image.save(f"{filename}.png")