prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism

Model

Flux.1-Dev-LoRA-HDR-Realism [ Experimental Version ]

24

10 commits

1 linked in READMEs

updated Nov 12, 2024

See the code

README

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

ParameterValueParameterValue
LR SchedulerconstantNoise Offset0.03
OptimizerAdamWMultires Noise Discount0.1
Network Dim64Multires Noise Iterations10
Network Alpha32Repeat & Steps19 & 2000
Epoch17Save Every N Epochs1
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.

diffusers
lora
text-to-image

Contributors

prithivMLmods

10 commits

prithivMLmods/Flux.1-Dev-LoRA-HDR-Realism

Model

Flux.1-Dev-LoRA-HDR-Realism [ Experimental Version ]

24

10 commits

1 linked in READMEs

updated Nov 12, 2024

See the code

README

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

ParameterValueParameterValue
LR SchedulerconstantNoise Offset0.03
OptimizerAdamWMultires Noise Discount0.1
Network Dim64Multires Noise Iterations10
Network Alpha32Repeat & Steps19 & 2000
Epoch17Save Every N Epochs1
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.

diffusers
lora
text-to-image

Contributors

prithivMLmods

10 commits