README.md

---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- image-generation
- flux
- safetensors
widget:
- text: >-
    A purple lovely plush monster, sitting on the top of a high building in New
    York, looking up at the perspective, Times Square, there are some colored
    balloons, the ground is pink, billboards, rich design sense of the picture,
    excellent advertising ideas
  output:
    url: images/5217c705409cdf78f6d49b1bd234ced636694f580d03a0462679913b.jpg
- text: >-
    A cartoon 3D monkey lies in the middle of the city,aerial view,shift axis
    photography,
  output:
    url: images/51a716fb6fe9ba5d54c260b70e7ff661d38acedc7fb725552fa77bcf.jpg
- text: >-
    A colorful cartoon monkey sits on a bus as it rolls down the street in Times
    Square, New York
  output:
    url: images/c5dafa68197f677c6ba55e68e63e94afefe6cf710d80298adc62ab7b.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# FLUX.1-dev-LoRA-live-3D

This is a LoRA (Live 3D) trained on FLUX.1-dev for 3D elements by [Hongke](https://www.shakker.ai/userpage/b1f1d4128cec474c8085576e6c9fb761/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/0210878e637047c6bad4db62ebfcefe8?from=feed).

<div class="container">
  <img src="./poster.jpg" width="1024"/>
</div>


## Showcases
<Gallery />

## Trigger words
Trigger is not required. The recommended scale is `0.9` to `1.3` in diffusers.


## Inference

```python
import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-live-3D", weight_name="FLUX-dev-lora-live_3D.safetensors")
pipe.fuse_lora(lora_scale=1.1)
pipe.to("cuda")

prompt = "A colorful cartoon monkey sits on a bus as it rolls down the street in Times Square, New York"

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
            ).images[0]
image.save(f"example.png")
```

## Online Inference

You can also download this model at [Shakker AI](https://www.shakker.ai/modelinfo/0210878e637047c6bad4db62ebfcefe8?from=feed), where we provide an online interface to generate images.


## Acknowledgements
This model is trained by our copyrighted users [Hongke](https://www.shakker.ai/userpage/b1f1d4128cec474c8085576e6c9fb761/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).