Flux LoRA Collections
Collection
Flux THE LoRA
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91 items
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Updated
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Flux-Super-Detail-LoRA
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
- Prompt
- Super Detail, A close-up shot of a man with a brown hat on his head. His eyes are blue and he has brown hair. His hair is wet from the rain. The background is blurred.
- Prompt
- Super Detail, A close-up shot of a womans face, taken from a low-angle perspective. The womans eyes are a piercing of turquoise, and her hair is a vibrant shade of brown. Her lips are painted a deep red, with a slight smile. Her eyebrows are a light brown, adding a touch of texture to her face. The background is dark, creating a stark contrast to the womans skin.
- Prompt
- Super Detail, a close-up shot of a womans head and shoulders is seen against a vibrant red backdrop. The womans face is adorned with a white face, adorned with blue eyes, and her brown hair cascades over her shoulders. She is wearing a red turtleneck, with a ribbed collar. Her lips are painted a vibrant shade of red, adding a pop of color to her face. Her eyebrows are a darker shade of blue, adding depth to the composition.
prithivMLmods/Flux-Fine-Detail-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 | 15 & 2470 |
| Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 15
Best Dimensions
- 768 x 1024 (Best)
- 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-Fine-Detail-LoRA"
trigger_word = "Super Detail"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use Super Detail to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for prithivMLmods/Flux-Fine-Detail-LoRA
Base model
black-forest-labs/FLUX.1-dev