Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
YouArt
strangerzonehf / NFT-Plus-InsideOut-Perspective
Model's Last Updated: April 25 2025
text-to-image
Introduction of NFT-Plus-InsideOut-Perspective
Model Details of NFT-Plus-InsideOut-Perspective
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Model description for NFT-Plus-InsideOut-Perspective
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 | 12 & 2100 |
| Epoch | 11 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 12
Best Dimensions & Inference
| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1280 x 832 | 3:2 | Best |
| 1024 x 1024 | 1:1 | Default |
Inference Range
- Recommended Inference Steps: 30–35
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 = "strangerzonehf/Flux-Microworld-NFT-LoRA"
trigger_word = "Microworld NFT"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use
NFT ++
to trigger the image generation.
Data Source
quaphadoodle
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Runs of strangerzonehf NFT-Plus-InsideOut-Perspective on huggingface.co
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More Information About NFT-Plus-InsideOut-Perspective huggingface.co Model
Url of NFT-Plus-InsideOut-Perspective
NFT-Plus-InsideOut-Perspective huggingface.co Url
Provider of NFT-Plus-InsideOut-Perspective huggingface.co
Other API from strangerzonehf
Updated:December 18 2025
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