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README.md
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@@ -98,4 +98,51 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2425583782, Size: 768x512, Mode
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anime, watercolor of 1girl,
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Negative prompt: nsfw, worst quality, low quality, bad aesthetic, oldest, blurry,
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Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3429871130, Size: 512x768, Model hash: eb9ce3842e, Model: realgar-v1-fp16, Clip skip: 2, Version: v1.2.1
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```
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anime, watercolor of 1girl,
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Negative prompt: nsfw, worst quality, low quality, bad aesthetic, oldest, blurry,
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Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3429871130, Size: 512x768, Model hash: eb9ce3842e, Model: realgar-v1-fp16, Clip skip: 2, Version: v1.2.1
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```
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## 🧨 Diffusers
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[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/#fileId=https://huggingface.co/p1atdev/Realgar-v1/blob/main/diffusers.ipynb)
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```bash
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pip install diffusers transformers accelerate scipy safetensors
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pip install xformers
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```
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```py
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import torch
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from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler
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model_id = "p1atdev/Realgar-v1"
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pipe = DiffusionPipeline.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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custom_pipeline="lpw_stable_diffusion"
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)
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe = pipe.to("cuda")
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pipe.enable_attention_slicing()
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pipe.enable_xformers_memory_efficient_attention() # required
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prompt = """
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anime, 1girl, blue hair, cat ears, sweater vest,
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"""
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negative_prompt = "nsfw, nude, worst quality, low quality, bad aesthetic, oldest, bad anatomy"
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width = 512
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height = 768
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image = pipe(
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prompt,
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negative_prompt=negative_prompt,
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guidance_scale=7.0,
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num_inference_steps=20,
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width=width,
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height=height,
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).images[0]
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display(image) # for notebooks
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# image.save("girl.png")
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```
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