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--- |
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inference: true |
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language: |
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- en |
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- es |
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tags: |
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- stable-diffusion |
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- text-to-image |
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license: creativeml-openrail-m |
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datasets: |
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- fka/awesome-chatgpt-prompts |
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metrics: |
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- accuracy |
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library_name: adapter-transformers |
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--- |
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# Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by [PromptHero](https://prompthero.com/) |
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Include **'mdjrny-v4 style'** in prompt. Here you'll find hundreds of [Openjourney prompts](https://prompthero.com/openjourney-prompts) |
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# Want to learn AI art generation?: |
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- [Crash course in AI art generation](https://prompthero.com/academy/prompt-engineering-course) |
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- [Learn to fine-tune Stable Diffusion for photorealism](https://prompthero.com/academy/dreambooth-stable-diffusion-train-fine-tune-course) |
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# Use it for free: |
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[](https://huggingface.co/spaces/akhaliq/midjourney-v4-diffusion) |
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### Stable Diffusion v1.5 vs Openjourney |
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(Same parameters, just added "mdjrny-v4 style" at the beginning): |
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<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587642-63265d019f9d19bfd4f45031.png" width="100%"/> |
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<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587623-63265d019f9d19bfd4f45031.png" width="100%"/> |
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<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587609-63265d019f9d19bfd4f45031.png" width="100%"/> |
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<img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587646-63265d019f9d19bfd4f45031.png" width="100%"/> |
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### 🧨 Diffusers |
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This model can be used just like any other Stable Diffusion model. For more information, |
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). |
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You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX](). |
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```python |
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from diffusers import StableDiffusionPipeline |
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import torch |
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model_id = "prompthero/openjourney" |
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) |
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pipe = pipe.to("cuda") |
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prompt = "retro serie of different cars with different colors and shapes, mdjrny-v4 style" |
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image = pipe(prompt).images[0] |
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image.save("./retro_cars.png") |
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``` |
