metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
nft avatar 3d, Captured at eye-level, a 3D rendering of a chimpanzees
face, adorned with a gold jacket and a gold necklace. The chimpanzee is
adorned with three gold rings, a white t-shirt, and a pair of gold
sunglasses with the letters "N" on them. Its face is covered in a light
yellow cap, and its ears are perked up. Its mouth is slightly open, as if
it is about to take a bite out of the sunglasses. The background is a
cityscape with neon lights, and cars are parked on the street. To the
right of the chimpanzee, there is a yellow sign that reads "NOHET".
output:
url: images/cyber-simian-nft-streetwear-monkey_1037797-1241.png
base_model: stabilityai/stable-diffusion-3.5-large-turbo
instance_prompt: nft avatar 3d
license: apache-2.0
NFT_Character_Avatar
- Prompt
- nft avatar 3d, Captured at eye-level, a 3D rendering of a chimpanzees face, adorned with a gold jacket and a gold necklace. The chimpanzee is adorned with three gold rings, a white t-shirt, and a pair of gold sunglasses with the letters "N" on them. Its face is covered in a light yellow cap, and its ears are perked up. Its mouth is slightly open, as if it is about to take a bite out of the sunglasses. The background is a cityscape with neon lights, and cars are parked on the street. To the right of the chimpanzee, there is a yellow sign that reads "NOHET".
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.