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prithivMLmods/Seamless-Pattern-Design-Flux-LoRA
Seamless-Pattern-Design-Flux-LoRA is a text-to-image model from prithivMLmods. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
Downloads · 30 days
70
1% of all-time downloads
All-time downloads
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.safetensors613 MB · 99%
From the Hugging Face model README
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/Seamless-Pattern-Design-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 | 25 & 3K |
| Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 17 [ 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/Seamless-Pattern-Design-Flux-LoRA"
trigger_word = "Seamless Pattern Design"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
- https://playground.com/
You should use Seamless Pattern Design to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.