Flux LoRA Collections
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Flux THE LoRA โข 131 items โข Updated โข 33
How to use prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism 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/Flux.1-Dev-LoRA-HDR-Realism")
prompt = "HDR, Captured at eye-level, a close-up shot of a young woman with dark brown hair and blue eyes. Her hair is styled in a braided bun, and shes wearing a black strapless dress with a black lace trim. She is wearing a gold necklace with a silver charm on it. The backdrop is blurred, and there are several lights hanging from the ceiling, adding a touch of color to the scene."
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/Flux.1-Dev-LoRA-HDR-Realism")
prompt = "HDR, Captured at eye-level, a close-up shot of a young woman with dark brown hair and blue eyes. Her hair is styled in a braided bun, and shes wearing a black strapless dress with a black lace trim. She is wearing a gold necklace with a silver charm on it. The backdrop is blurred, and there are several lights hanging from the ceiling, adding a touch of color to the scene."
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/Flux.1-Dev-LoRA-HDR-Realism
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 | 19 & 2000 |
| Epoch | 17 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 14
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/Flux.1-Dev-LoRA-HDR-Realism"
trigger_word = "HDR"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
You should use HDR 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