Flux LoRA Collections
Collection
Flux THE LoRA β’ 131 items β’ Updated β’ 33
How to use prithivMLmods/Fractured-Line-Flare with Diffusers:
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("prithivMLmods/Fractured-Line-Flare")
prompt = "Fractured Line Flare, Captured at eye-level, a close-up shot captures a hamburger, adorned with sesame seeds on a brown bun. The bun is adorned with a variety of vibrant colors, including pink, purple, and white. The hamburger is situated on a black surface, with a backdrop of a trees leaves, adding a pop of color to the scene. The burger is encased in a thick layer of melted cheese, a dark brown meat, and a few slices of onion are arranged in the middle of the bun, adding depth to the composition. The lighting is subdued in a vibrant hue, creating a stark contrast to the burger."
image = pipe(prompt).images[0]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("prithivMLmods/Fractured-Line-Flare")
prompt = "Fractured Line Flare, Captured at eye-level, a close-up shot captures a hamburger, adorned with sesame seeds on a brown bun. The bun is adorned with a variety of vibrant colors, including pink, purple, and white. The hamburger is situated on a black surface, with a backdrop of a trees leaves, adding a pop of color to the scene. The burger is encased in a thick layer of melted cheese, a dark brown meat, and a few slices of onion are arranged in the middle of the bun, adding depth to the composition. The lighting is subdued in a vibrant hue, creating a stark contrast to the burger."
image = pipe(prompt).images[0]


The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
prithivMLmods/Fractured-Line-Flare
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 & 2.2K |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 17 [ Hi-RES ]
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/Fractured-Line-Flare"
trigger_word = "Fractured Line Flare"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
- https://freeflo.ai/
You should use Fractured Line Flare to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev