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--- |
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tags: |
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- text-to-image |
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- stable-diffusion |
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- kviai |
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- midjourney |
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- lora |
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- dalle-3 |
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- dalle |
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- deepvision |
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- diffusers |
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widget: |
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- text: reimagine the ZX Spectrum Game MANIC MINER as a 3D modern style game |
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output: |
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url: https://www.instantaiprompt.com/wp-content/uploads/2023/12/manic-miner.jpg |
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- text: >- |
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cute Harry Potter, pixar animated movie style, dramatic lighting, standing |
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outside Hogwarts. |
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output: |
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url: >- |
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https://www.instantaiprompt.com/wp-content/uploads/2023/12/harry-potter-ai-hp.jpg |
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- text: >- |
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close up of a Quokka, national geographic style photography, stunning image, |
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golden hour |
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output: |
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url: https://www.instantaiprompt.com/wp-content/uploads/2023/12/ai-quokka.jpg |
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base_model: runwayml/stable-diffusion-v1-5 |
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instance_prompt: <lora:Dall-e_3_0.3-v2-000003> |
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license: openrail |
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language: |
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- en |
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- fr |
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- ru |
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pipeline_tag: text-to-image |
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library_name: diffusers |
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--- |
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# DALL-E 3 XL |
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<Gallery /> |
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## Model description |
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This is a test model like Dall-E 3. |
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Estimated generateion time is ~ 60 seconds on gpu |
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By KVI Kontent |
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## Usage |
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You can try out model using Huggingface Interface API, and here is how: |
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```Python |
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import requests |
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import io |
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from PIL import * |
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API_URL = "https://api-inference.huggingface.co/models/Kvikontent/kviimager2.0" |
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headers = {"Authorization": "Bearer huggingface_api_token"} |
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def query(payload): |
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response = requests.post(API_URL, headers=headers, json=payload) |
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return response.content |
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image_bytes = query({ |
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"inputs": "Astronaut riding a horse", |
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}) |
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image = Image.open(io.BytesIO(image_bytes)) |
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image.save("generated_image.jpg") |
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``` |
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or using Diffusers library (requires pytorch and transformers too): |
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```Python |
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from diffusers import DiffusionPipeline |
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import io |
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from PIL import * |
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pipeline = DiffusionPipeline.from_pretrained("stablediffusionapi/juggernaut-xl-v5") |
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pipeline.load_lora_weights("Kvikontent/kviimager2.0") |
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prompt = "Astronaut riding a horse" |
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image_bytes = pipeline(prompt) |
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image = Image.open(io.BytesIO(image_bytes)) |
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image.save("generated_image.jpg") |
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``` |
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## Credits |
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* Author - Vasiliy Katsyka |
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* Company - [KVIAI](https://hf.co/kviai) |
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* Licence - Openrail |
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## Official demo |
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You can use official demo on Spaces: [try](https://huggingface.co/spaces/kvikontent/kviimager2.0). |