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Sponsored by
APIMart
strangerzonehf / NFT_Character_Avatar-SD3.5-TURBO-Large
Model's Last Updated: May 19 2025
text-to-image
Introduction of NFT_Character_Avatar-SD3.5-TURBO-Large
Model Details of NFT_Character_Avatar-SD3.5-TURBO-Large
NFT_Character_Avatar
- Prompt
Model description
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 | 27 & 3800 |
| Epoch | 25 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 63 [Diffusion Generated]
Setting Up
from diffusers import DiffusionPipeline
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
model_repo_id = "stabilityai/stable-diffusion-3.5-large-turbo"
torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
pipe = pipe.to(device)
pipe.load_lora_weights("strangerzonehf/NFT_Character_Avatar-SD3.5-TURBO-Large", weight_name="nft-avatar-3d-sd35.safetensors")
trigger_word = "nft avatar 3d" # Specify trigger word for LoRA
pipe.fuse_lora(lora_scale=1.0))
Trigger words
You should use
nft avatar 3d
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Runs of strangerzonehf NFT_Character_Avatar-SD3.5-TURBO-Large on huggingface.co
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More Information About NFT_Character_Avatar-SD3.5-TURBO-Large huggingface.co Model
Url of NFT_Character_Avatar-SD3.5-TURBO-Large
NFT_Character_Avatar-SD3.5-TURBO-Large huggingface.co Url
Provider of NFT_Character_Avatar-SD3.5-TURBO-Large huggingface.co
Other API from strangerzonehf
Updated:December 18 2025
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