a3a3b804b3ba68d445af870066d66198d6798fac74715f93d500c4c1271be945
Browse files- README.md +54 -0
- feature_extractor/preprocessor_config.json +20 -0
- mdjrny-v4.ckpt +3 -0
README.md
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---
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language:
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- en
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- text-to-image
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inference: true
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---
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# Overview
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This is simply prompthero/openjourney with the safety checker disabled.
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**DO NOT** attempt to use this model to generate harmful or illegal content.
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# Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by [PromptHero](https://prompthero.com/poolsuite-diffusion-prompts?utm_source=huggingface&utm_medium=referral)
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Include **'mdjrny-v4 style'** in prompt. Here you'll find hundreds of [Openjourney prompts](https://prompthero.com/openjourney-prompts?utm_source=huggingface&utm_medium=referral)
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# Openjourney Links
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- [Lora version](https://huggingface.co/prompthero/openjourney-lora)
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- [Openjourney v4](https://huggingface.co/prompthero/openjourney-v2)
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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?utm_source=huggingface&utm_medium=referral)
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- [Learn to fine-tune Stable Diffusion for photorealism](https://prompthero.com/academy/dreambooth-stable-diffusion-train-fine-tune-course?utm_source=huggingface&utm_medium=referral)
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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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```
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feature_extractor/preprocessor_config.json
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{
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"crop_size": 224,
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "CLIPFeatureExtractor",
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"size": 224
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}
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mdjrny-v4.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d5ad06cc24170b32f25f0180a357e315848000c5f400ffda350e59142fabd68
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size 2132856622
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