metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Pastel
widget:
- text: >-
Pastel BG, a young woman with brown hair and blue eyes stands in front of
a colorful backdrop. The womans face is adorned with freckles, adding a
pop of color to her outfit. The backdrop is a vibrant shade of purple,
with yellow stars and stripes on it.
output:
url: images/PB1.png
- text: >-
Pastel BG, An eye-level view of a gray tabby cat with long white whiskers
and a pink nose. The cats head is tilted slightly to the right, and its
eyes are wide open. Its ears are pointed up, and the cats fur is a mix of
gray and black. The background is a combination of pink, purple, and
yellow, with white dots dotting the background. To the left of the cat,
there is a purple star with a white butterfly on it.
output:
url: images/PB2.png
- text: >-
Pastel BG, a man stands in front of a colorful backdrop. He is dressed in
a light pink suit jacket, a yellow collared shirt, and a pair of
sunglasses. His hair is styled in a short bob, and his eyes are slightly
open. His lips are slightly parted, as if he is looking to the right. The
backdrop is a combination of pink, yellow, and green, with small white
stars on the right side of the wall.
output:
url: images/PB3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Pastel BG
license: creativeml-openrail-m
Pastel-BG-Flux-LoRA
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
Model description
prithivMLmods/Pastel-BG-Flux-LoRA
Image Processing Parameters
Parameter | Value | Parameter | Value |
---|---|---|---|
LR Scheduler | constant | Noise Offset | 0.03 |
Optimizer | AdamW | Multires Noise Discount | 0.1 |
Network Dim | 64 | Multires Noise Iterations | 10 |
Network Alpha | 32 | Repeat & Steps | 28 & 3340 |
Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 18 [ Hi-RES ]
Best Dimensions
- 1024 x 1024 (Default)
Setting Up
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "prithivMLmods/Pastel-BG-Flux-LoRA"
trigger_word = "Pastel BG"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use Pastel BG
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.