---
widget:
- text: ksrksr a man is standing facing forward
  output:
    url: images/ksrksr_e000033_00_20241012044531.png
base_model: enhanceaiteam/FLUX.1-Pro
instance_prompt: ksrksr
license: mit
pipeline_tag: text-to-image
---
import requests

API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}

def query(payload):
	response = requests.post(API_URL, headers=headers, json=payload)
	return response.content
image_bytes = query({
	"inputs": "Astronaut riding a horse",
})
# You can access the image with PIL.Image for example
import io
from PIL import Image
image = Image.open(io.BytesIO(image_bytes))



---
tags:
- text-to-image
- FLUX.1-PRO
- generation
widget:
- text: ksrksr a man is standing facing forward
  output:
    url: images/ksrksr_e000033_00_20241012044531.png
base_model: enhanceaiteam/FLUX.1-Pro
instance_prompt: ksrksr
license: mit
---
# ksr

<Gallery />


## Trigger words

You should use `ksrksr` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/defhouse/ksrksr/tree/main) them in the Files & versions tab.