README.md

metadata

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

Prompt

ksrksr a man is standing facing forward

Trigger words

You should use ksrksr to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.