Flux LoRA Collections
Collection
Flux THE LoRA β’ 131 items β’ Updated β’ 32
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/Shadow-Projection-Flux-LoRA")
prompt = "Shadow Projection, a close-up shot of a womans face is visible. Her eyes are a piercing blue, and her eyelashes are a darker shade of blue. Her eyebrows are a dark brown, and she has long, wavy brown hair. Her lips are a lighter shade of brown, with a slight smile on her lips. The womans eyebrows are dark, adding a touch of depth to her face. The background is blurred, and the womans shadow is cast on the right side of the frame."
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/Shadow-Projection-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 | 26 & 3200 |
| Epoch | 16 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 15 [ 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/Shadow-Projection-Flux-LoRA"
trigger_word = "Shadow Projection"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
- https://freeflo.ai/
You should use Shadow Projection 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