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  ---
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  license: creativeml-openrail-m
 
 
 
 
 
 
 
 
 
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  ---
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  ## Paint Journey V2 is [Paint Journey V1](https://huggingface.co/FredZhang7/paint-journey-v1) fine-tuned on 768x768 oil paintings by Midjourney, Open Journey, and Disco Diffusion
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- Put `((oil painting))` at the start of the prompt for the style effect. For starters, try generating 768x768 for anything, 512x768 for portraits, and 1056x768 for landscapes.
 
 
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  ## Portrait Examples
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  ((oil painting)), a futuristic space station, lighting, sci-fi, dry paint, high resolution, uhd wallpaper
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  Negative prompt: low-res blurry ((fog)) watermark
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  Steps: 20, Sampler: Euler, CFG scale: 7.5, Seed: 4009095562, Size: 1056x768, Model hash: 26fd2f6f, Batch size: 4, Batch pos: 0
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: creativeml-openrail-m
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+ language:
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+ - en
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+ tags:
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+ - text-to-image
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+ - stable-diffusion
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+ - disco-diffusion
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+ - painting
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+ - art
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+ inference: true
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  ---
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  ## Paint Journey V2 is [Paint Journey V1](https://huggingface.co/FredZhang7/paint-journey-v1) fine-tuned on 768x768 oil paintings by Midjourney, Open Journey, and Disco Diffusion
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+
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+ Put **((oil painting))** at the start of the prompt for the style effect. For starters, try a dimension of 768x768 for anything, 512x768 for portraits, and 1056x768 for landscapes.
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+
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  ## Portrait Examples
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  ((oil painting)), a futuristic space station, lighting, sci-fi, dry paint, high resolution, uhd wallpaper
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  Negative prompt: low-res blurry ((fog)) watermark
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  Steps: 20, Sampler: Euler, CFG scale: 7.5, Seed: 4009095562, Size: 1056x768, Model hash: 26fd2f6f, Batch size: 4, Batch pos: 0
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+ ```
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+
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+ ## WebUI Usage
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+ ```
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+ git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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+ ```
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+ Download [paint_journey_v2.ckpt](./paint_journey_v2.ckpt) to the `./stable-diffusion-webui/models/Stable-diffusion` folder. Run `webui-user.bat`.
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+
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+ ## Diffusers Usage
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+ ```bash
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+ pip install --upgrade diffusers
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+ ```
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+ ```python
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+ from diffusers import StableDiffusionPipeline
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+ import torch
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+
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+ pipe = StableDiffusionPipeline.from_pretrained("FredZhang7/paint-journey-v2")
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+ pipe = pipe.to("cuda")
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+
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+ prompt = "((oil painting)) lighthouse near the sea, oil painting, high resolution wallpaper"
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+ image = pipe(prompt).images[0]
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+
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+ image.save("./result.png")
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+ ```
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+
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+ ## Safety Checker
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+
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+ The official [stable diffusion safety checker](https://huggingface.co/CompVis/stable-diffusion-safety-checker) uses up 1.22GB VRAM. Recommend using [Google Safesearch Mini](https://huggingface.co/FredZhang7/google-safesearch-mini) (99MB) to save 1.12GB VRAM.