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NFT_Character_Avatar-SD3.5-TURBO-Large
strangerzonehf/NFT_Character_Avatar-SD3.5-TURBO-Large
NFT_Character_Avatar-SD3.5-TURBO-Large is a text-to-image model from strangerzonehf. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
All-time downloads
194
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Repo size
540 MB
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1
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Repo makeup
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.safetensors539 MB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- May 18, 2025
- Updated
- May 18, 2025
- SHA
- 0ea3c19b
Try a prompt
Base models
Model card
From the Hugging Face model README
NFT_Character_Avatar
<Gallery />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.
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Created
- May 18, 2025
- Updated
- May 18, 2025