--- 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: license: openrail language: - en - fr - ru pipeline_tag: text-to-image library_name: diffusers --- # DALL-E 3 XL ## 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).