---
title: Canopus-Pixar-3D-Flux-LoRA
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/Canopus-Pixar-3D-Flux-LoRA"
md_url: "https://www.modelscope.cn/models/prithivMLmods/Canopus-Pixar-3D-Flux-LoRA.md"
repository: prithivMLmods/Canopus-Pixar-3D-Flux-LoRA
last_updated: 2024-11-26
license: creativeml-openrail-m
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - black-forest-labs/FLUX.1-dev
base_model_relation: adapter
parameters: 306.3M
tensor_type:
  - F16
library_name:
  - pytorch
  - lora
  - diffusers
  - safetensors
frameworks:
  - pytorch
downloads: 1864
stars: 0
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - "template:sd-lora"
  - pixar
  - 3d
  - cartoon
  - flux
  - dev
  - art
---

# Canopus-Pixar-3D-Flux-LoRA

> Canopus-Pixar-3D-Flux-LoRA - prithivMLmods 在 ModelScope 开源的模型。Canopus-Pixar-3D-FluxDev-LoRA

prithivMLmods/Canopus-Pixar-3D-Flux-LoRA 是 ModelScope 魔搭社区上的 306.3M 参数text-to-image-synthesis模型，采用 creativeml-openrail-m 许可，基于 black-forest-labs/FLUX.1-dev 构建。

- **Repository**: prithivMLmods/Canopus-Pixar-3D-Flux-LoRA
- **License**: creativeml-openrail-m
- **Tasks**: text-to-image-synthesis
- **Parameters**: 306.3M
- **Base model**: black-forest-labs/FLUX.1-dev
- **Tags**: text-to-image, stable-diffusion, lora, diffusers, template:sd-lora, pixar, 3d, cartoon, flux, dev, art
- **Downloads**: 1864
- **Stars**: 0
- **Last updated**: 2024-11-26

Source: https://www.modelscope.cn/models/prithivMLmods/Canopus-Pixar-3D-Flux-LoRA

---

# Canopus-Pixar-3D-FluxDev-LoRA

<Gallery />

**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](/prithivMLmods/Canopus-Pixar-3D-FluxDev-LoRA/tree/main) them in the Files & versions tab.