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--- |
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pipeline_tag: text-to-image |
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widget: |
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- text: >- |
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a wolf hollowing at the moon |
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url: wolf.png |
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- text: >- |
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a baseball bat on the beach |
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output: |
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url: baseball.png |
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- text: >- |
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space |
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output: |
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url: space.png |
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- text: >- |
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green dragon, flying, sky, yellow eyes, teeth, wings up, tail, horns, solo, clouds, |
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url: dragon.png |
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- text: >- |
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(impressionistic realism by csybgh), a 50 something male, working in banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry, talks a lot but listens poorly, stuck in the past, wearing a suit, he has a certain charm, bronze skintone, sitting in a bar at night, he is smoking and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey ambiance, perfect hands AND fingers |
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output: |
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url: Afro-Asiatic.png |
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- text: >- |
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a cat wearing sunglasses in the summer |
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output: |
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url: sunglasses.png |
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- text: >- |
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close up portrait of an old woman |
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output: |
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url: oldwoman.png |
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- text: >- |
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fishing boat, bioluminescent sky |
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output: |
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url: boat.png |
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license: apache-2.0 |
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--- |
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<Gallery /> |
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# OpenVision (v1): Midjourney Aesthetic for All Your Images |
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OpenVision is a style enhancement of ProteusV0.4 that seamlessly incorporates the captivating Midjourney aesthetic into every image you generate. |
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OpenVision excels at that unspeakable style midjourney is renowed for, while still retaining a good range and crisp details - especially on portraits! |
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By baking the Midjourney aesthetic directly into the model, OpenVision eliminates the need for manual adjustments or post-processing. |
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All synthetic images were generated using the Bittensor Network. Bittensor will decentralise AI - and building SOTA open source models is key - OpenVision is a small step in our grand journey |
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# Optimal Settings |
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- CFG: 1.5 - 2 |
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- Sampler: Euler Ancestral |
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- Steps: 30 - 40 |
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- Resolution: 1280x1280 (Aesthetic++) or 1024x1024 (Fidelity++) |
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# Use it with 🧨 diffusers |
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```python |
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import torch |
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from diffusers import ( |
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StableDiffusionXLPipeline, |
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AutoencoderKL |
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) |
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# Load VAE component |
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vae = AutoencoderKL.from_pretrained( |
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"madebyollin/sdxl-vae-fp16-fix", |
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torch_dtype=torch.float16 |
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) |
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# Configure the pipeline |
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pipe = StableDiffusionXLPipeline.from_pretrained( |
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"Corcelio/openvision", |
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vae=vae, |
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torch_dtype=torch.float16 |
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) |
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pipe.to('cuda') |
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# Define prompts and generate image |
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prompt = "a cat wearing sunglasses in the summer" |
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negative_prompt = "" |
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image = pipe( |
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prompt, |
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negative_prompt=negative_prompt, |
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width=1280, |
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height=1280, |
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guidance_scale=1.5, |
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num_inference_steps=30 |
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).images[0] |
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``` |
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# Credits |
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Made by Corcel [ https://corcel.io/ ] |
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