metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Yellow-Pop
- Theme
- Flux-Dev
widget:
- text: >-
Yellow Pop, A medium-sized bulldog stands in front of a vibrant pink
background. The bulldogs face is prominently displayed, with its mouth
slightly open. Its eyes are wide open, and its ears are perked up. Its
mouth is slightly open, revealing a black nose. Its muzzle is adorned with
small black dots, adding a pop of color to the scene. The dogs coat is a
light brown, with a purple collared shirt underneath it. The coat has a
black collar with a few buttons on it.
output:
url: images/YP1.png
- text: >-
Yellow Pop, An eye-level painting of a tree with a yellow base and a thick
trunk. The trees leaves are a vibrant shade of green, while the base is a
lighter shade of yellow. The background is a deep pink, and the trees
shadow is cast on the ground below the tree, creating a striking contrast
of colors. The leaves are arranged in a way that creates a sense of depth
and dimension, adding a pop of color to the scene.
output:
url: images/YP2.png
- text: >-
Yellow Pop, A digital art painting of a woman in a pink jacket and a
yellow turtleneck. The womans hair is styled in a bun and she is wearing a
pair of pink tinted glasses. Her eyes are blue and her lips are pink. Her
hair is pulled back in a ponytail. She is wearing large silver hoop
earrings on both sides of her ears. The background of the painting is a
vibrant yellow.
output:
url: images/YP3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Yellow Pop
license: creativeml-openrail-m
Yellow-Pop-Flux-Dev-LoRA
- Prompt
- Yellow Pop, A medium-sized bulldog stands in front of a vibrant pink background. The bulldogs face is prominently displayed, with its mouth slightly open. Its eyes are wide open, and its ears are perked up. Its mouth is slightly open, revealing a black nose. Its muzzle is adorned with small black dots, adding a pop of color to the scene. The dogs coat is a light brown, with a purple collared shirt underneath it. The coat has a black collar with a few buttons on it.
- Prompt
- Yellow Pop, An eye-level painting of a tree with a yellow base and a thick trunk. The trees leaves are a vibrant shade of green, while the base is a lighter shade of yellow. The background is a deep pink, and the trees shadow is cast on the ground below the tree, creating a striking contrast of colors. The leaves are arranged in a way that creates a sense of depth and dimension, adding a pop of color to the scene.
- Prompt
- Yellow Pop, A digital art painting of a woman in a pink jacket and a yellow turtleneck. The womans hair is styled in a bun and she is wearing a pair of pink tinted glasses. Her eyes are blue and her lips are pink. Her hair is pulled back in a ponytail. She is wearing large silver hoop earrings on both sides of her ears. The background of the painting is a vibrant yellow.
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/Yellow-Pop-Flux-Dev-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 | 22 & 2600 |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 22
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/Yellow-Pop-Flux-Dev-LoRA"
trigger_word = "Yellow Pop"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Data source
- https://freeflo.ai/
Trigger words
You should use Yellow Pop to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.