metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Photonegative Refractographs
widget:
- text: >-
Captured in a low-angle, eye-level perspective, a black and white cat
stands against a stark black backdrop. The cats fur is a mix of black,
white, and gray, creating a stark contrast against the dark background.
The black cats face is adorned with a white line, adding a pop of color to
the otherwise monochromatic image. The tail of the cat is draped over its
body, adding depth to the composition.
output:
url: images/GB4.png
- text: >-
Glowing body, A close-up of a black birds head and neck is seen in a stark
white lighted photograph. The birds beak is pointed towards the right side
of the frame, and its eye is visible in the center of the image. The
background is completely black, creating a stark contrast to the birds
body and head.
output:
url: images/GB5.png
- text: >-
Glowing Body, a vibrant black-haired man stands against a dark backdrop,
adorned with a glowing heart-shaped light-up shirt. The mans face is
adorned with white paint, adding a pop of color to the otherwise
monochromatic scene. His hair is short, cascading down to his forehead,
framing his face. His eyes are covered in white paint. His lips are
slightly parted, as if he is looking down at the heart. His arms are
stretched out in front of him, adding depth to the composition. The
heart-like shape of the shirt is glowing, creating a stark contrast
against the dark backdrop.
output:
url: images/GB3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Glowing Body
license: creativeml-openrail-m
Glowing-Body-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/Glowing-Body-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 | 25 & 3.1K |
Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 22 [ 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/Glowing-Body-Flux-LoRA"
trigger_word = "Glowing Body"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Data source
- https://freeflo.ai/
Trigger words
You should use Glowing Body
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.