metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- HDR
widget:
- text: >-
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.
output:
url: images/HDR1.png
- text: >-
HDR, Captured in a low-angle shot, a medium-sized man with dark brown hair
and a goatee is seated on a chair. His eyes are a piercing blue, and his
eyebrows are a darker shade of brown. His lips are a lighter shade of
pink, and he has a serious expression on his face. He is wearing a gray
sweater with a textured pattern on the left side of his chest. His sweater
is a light gray, with a black stripe running down the center of the
sweater. The backdrop is blurred, and a wooden chair is visible behind the
man.
output:
url: images/HDR2.png
- text: >-
HDR, a close-up shot of a womans face is adorned with a layer of snow,
adding a touch of warmth to the scene. The womans eyes are closed, her
lips are pursed in a deep pink shade, while her hair cascades over her
shoulders. Her eyebrows are adorned with small, white snowflakes, adding
depth to the composition. The background is blurred, creating a soft,
blurred effect.
output:
url: images/HDR3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: HDR
license: creativeml-openrail-m
Flux.1-Dev-LoRA-HDR-Realism [ Experimental Version ]
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/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
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/Flux.1-Dev-LoRA-HDR-Realism"
trigger_word = "HDR"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use HDR
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.