metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
A 3D Portrait cartoon depiction of a woman with long dark brown hair and
brown eyes stands in front of a window. She is wearing a gray turtleneck,
with her left hand resting on her head. Her right hand is touching her
face, adding a touch of warmth to the scene. The background is a stark
white wall, with a window on the left side of the image.
output:
url: images/1.webp
- text: >-
A 3D cartoon-style portrait of a man with short, wavy black hair and blue
eyes, standing against a soft pastel-colored background. He is wearing a
casual navy blue hoodie, with his right arm crossed over his chest, and
his left hand raised to touch his chin thoughtfully. The background
includes a large, arched window with light streaming through, creating a
warm, cozy atmosphere
output:
url: images/2.webp
- text: >-
A 3D cartoon-style portrait of a young woman with medium-length blonde
hair and green eyes, sitting in a cozy cafe. She is wearing a light pink
sweater and holding a warm cup of coffee close to her face with both
hands, creating a peaceful vibe. The background shows a wooden table and a
window with raindrops, giving a cozy, rainy-day feel
output:
url: images/3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 3D Portrait
license: creativeml-openrail-m
Castor-3D-Portrait-Flux-LoRA
Model description
prithivMLmods/Castor-3D-Portrait-Flux-LoRA
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 | 20 & 2.5K |
Epoch | 15 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 19
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 = "prithivMLmods/Castor-3D-Portrait-Flux-LoRA"
trigger_word = "3D Portrait" # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
App File Structure
/project-root/
βββ .gitattributes
βββ README.md
βββ app.py
βββ pythonproject.py
Trigger words π§¨
Trigger words: You should use
3D Portrait
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.