---
title: 3D-Render-Flux-LoRA
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/3D-Render-Flux-LoRA"
md_url: "https://www.modelscope.cn/models/prithivMLmods/3D-Render-Flux-LoRA.md"
repository: prithivMLmods/3D-Render-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: 1860
stars: 1
tags:
  - text-to-image
  - lora
  - diffusers
  - "template:diffusion-lora"
  - "3D Portrait"
  - "3D render"
---

# 3D-Render-Flux-LoRA

> 3D-Render-Flux-LoRA - prithivMLmods 在 ModelScope 开源的模型。Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC

prithivMLmods/3D-Render-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/3D-Render-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, lora, diffusers, template:diffusion-lora, 3D Portrait, 3D render
- **Downloads**: 1860
- **Stars**: 1
- **Last updated**: 2024-11-26

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

---

# 3D-Render-Flux-LoRA

<Gallery />

- Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC

**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/3D-Render-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           | 27 & 3000|
| Epoch                     | 15  | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 19 [ Hi-RES ]
    
## Best Dimensions

- 1024 x 1024 (Default)
  
## 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/3D-Render-Flux-LoRA"
trigger_word = "3D Portrait, 3d render"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```
## Data source
    
    - https://freeflo.ai/

## Trigger words

You should use `3D Portrait, 3d render` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/3D-Render-Flux-LoRA/tree/main) them in the Files & versions tab.