prithivMLmods/Canopus-Pixar-3D-Flux-LoRA

Canopus-Pixar-3D-FluxDev-LoRA

Prompt

3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, style of Pixarstyle of Pixar 4K : cinematic --ar 68:128 --stylize 750 --v 5.2

Prompt

Cartoon 3D sunny bright Pixar-style image : super hero : full costume : cinematic --ar 68:128 --stylize 750 --v 5.2

Prompt

A young man with light brown wavy hair and light brown eyes sitting in an armchair and looking directly at the camera, pixar style, disney pixar, office background, ultra detailed, 1 man

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

Model description

prithivMLmods/Canopus-Pixar-3D-FluxDev-LoRA

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW8bit	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat & Steps	20 & 2.3K+
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 110+ [ Hi-RES ]

& More ...............

Trigger prompts

  A young man with light brown wavy hair and light brown eyes sitting in an armchair and looking directly at the camera, pixar style, disney pixar, office background, ultra detailed, 1 man
  
  cartoon 3D sunny bright Pixar-style image : super hero : full costume : cinematic --ar 68:128 --stylize 750 --v 5.2
  
  3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750

Parameter	Value
Prompt	cartoon 3D sunny bright Pixar-style image : super hero : full costume : cinematic --ar 68:128 --stylize 750 --v 5.2
Sampler	euler

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/Canopus-Pixar-3D-FluxDev-LoRA"
trigger_word = "pixar"  # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger words

You should use Pixar to trigger the image generation.

You should use Pixar 3D to trigger the image generation.

You should use 3D to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.