Canopus-Pixar-3D-FluxDev-LoRA
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.