Flux LoRA Collections
Collection
Flux THE LoRA β’ 131 items β’ Updated β’ 33
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/Digital-Yellow-Flux-LoRA")
prompt = "Digital Yellow, a medium-angle view of a large yellow ship is seen on a reflective reflective surface. The ships hull is adorned with a blue stripe running down the center of it, adding a pop of color to the otherwise monochromatic scene. The background is a mix of blue, yellow, and white lines, creating a stark contrast to the ships vibrant colors. The reflection of the ship and the surrounding buildings can be seen in the bottom right corner of the frame, adding depth to the composition."
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/Digital-Yellow-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 & 3K |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 20 [ 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/Digital-Yellow-Flux-LoRA"
trigger_word = "Digital Yellow"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
- https://freeflo.ai/
You should use Digital Yellow 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