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---
base_model:
- black-forest-labs/FLUX.1-dev
pipeline_tag: image-to-image
library_name: diffusers
tags:
- controlnet
---
# ⚡ Flux.1-dev: Depth ControlNet ⚡
A controlNet for depth map developped by Jasper research team.
<p align="center">
<img style="width:700px;" src="examples/showcase.jpg">
</p>
# How to use
This model can be used directly with the `diffusers` library
```python
import torch
from diffusers.utils import load_image
from diffusers import FluxControlNetModel
from diffusers.pipelines import FluxControlNetPipeline
# Load pipeline
controlnet = FluxControlNetModel.from_pretrained(
"jasperai/Flux.1-dev-Controlnet-Depth",
torch_dtype=torch.bfloat16
)
pipe = FluxControlNetPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
controlnet=controlnet,
torch_dtype=torch.bfloat16
)
# Load a control image
control_image = load_image(
"https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Depth/resolve/main/examples/depth.jpg"
)
prompt = "a statue of a gnome in a field of purple tulips"
image = pipe(
prompt,
control_image=control_image,
controlnet_conditioning_scale=0.6,
num_inference_steps=28,
guidance_scale=3.5,
).images[0]
image.save("image.jpg")
```
<p align="center">
<img style="width:700px;" src="examples/output.jpg">
</p>
# Licence
The licence under the Flux.1-dev model applies to this model. |