README.md

---
tags:
- text-to-image
- stable-diffusion
- kviai
- midjourney
- lora
- dalle-3
- dalle
- deepvision
- diffusers
widget:
- text: reimagine the ZX Spectrum Game MANIC MINER as a 3D modern style game
  output:
    url: https://www.instantaiprompt.com/wp-content/uploads/2023/12/manic-miner.jpg
- text: >-
    cute Harry Potter, pixar animated movie style, dramatic lighting, standing
    outside Hogwarts.
  output:
    url: >-
      https://www.instantaiprompt.com/wp-content/uploads/2023/12/harry-potter-ai-hp.jpg
- text: >-
    close up of a Quokka, national geographic style photography, stunning image,
    golden hour
  output:
    url: https://www.instantaiprompt.com/wp-content/uploads/2023/12/ai-quokka.jpg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: <lora:Dall-e_3_0.3-v2-000003>
license: openrail
language:
- en
- fr
- ru
pipeline_tag: text-to-image
library_name: diffusers
---
# DALL-E 3 XL

<Gallery />

## Model description 

This is a test model like Dall-E 3.

Estimated generateion time is ~ 60 seconds on gpu

By KVI Kontent

## Usage

You can try out model using Huggingface Interface API, and here is how:
```Python
import requests
import io
from PIL import *

API_URL = "https://api-inference.huggingface.co/models/Kvikontent/kviimager2.0"
headers = {"Authorization": "Bearer huggingface_api_token"}

def query(payload):
	response = requests.post(API_URL, headers=headers, json=payload)
	return response.content

image_bytes = query({
	"inputs": "Astronaut riding a horse",
})

image = Image.open(io.BytesIO(image_bytes))
image.save("generated_image.jpg")
```
or using Diffusers library (requires pytorch and transformers too):
```Python
from diffusers import DiffusionPipeline
import io
from PIL import *

pipeline = DiffusionPipeline.from_pretrained("stablediffusionapi/juggernaut-xl-v5")
pipeline.load_lora_weights("Kvikontent/kviimager2.0")

prompt = "Astronaut riding a horse"

image_bytes = pipeline(prompt)
image = Image.open(io.BytesIO(image_bytes))
image.save("generated_image.jpg")
```

## Credits

* Author - Vasiliy Katsyka
* Company - [KVIAI](https://hf.co/kviai)
* Licence - Openrail

## Official demo

You can use official demo on Spaces: [try](https://huggingface.co/spaces/kvikontent/kviimager2.0).