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| 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 | 28 & 3990 |
| Epoch | 22 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 140 [ Diffusion Generated ]| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1280 x 832 | 3:2 | Best |
| 1024 x 1024 | 1:1 | Default |
1import torch
2from pipelines import DiffusionPipeline
3
4base_model = "black-forest-labs/FLUX.1-dev"
5pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
6
7lora_repo = "strangerzonehf/Flux-Nft-Exp2-Beta1"
8trigger_word = "NFT 3D Avatar"
9pipe.load_lora_weights(lora_repo)
10
11device = torch.device("cuda")
12pipe.to(device)NFT 3D Avatar to trigger the image generation.