|
--- |
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dataset_info: |
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features: |
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- name: Prompt |
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dtype: string |
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- name: Category |
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dtype: string |
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- name: Challenge |
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dtype: string |
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- name: Note |
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dtype: string |
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- name: images |
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dtype: image |
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- name: model_name |
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dtype: string |
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- name: seed |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 198852412.0 |
|
num_examples: 1632 |
|
download_size: 198704477 |
|
dataset_size: 198852412.0 |
|
--- |
|
# Images of Parti Prompts for "sd-v1-5" |
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|
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Code that was used to get the results: |
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|
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```py |
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from diffusers import DiffusionPipeline, DDIMScheduler |
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import torch |
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import PIL |
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|
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pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, safety_checker=None) |
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pipe.to("cuda") |
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pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config) |
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|
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prompt = "" # a parti prompt |
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generator = torch.Generator("cuda").manual_seed(0) |
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|
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image = pipe(prompt, generator=generator, num_inference_steps=100, guidance_scale=7.5).images[0] |
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image = image.resize((256, 256), resample=PIL.Image.Resampling.LANCZOS) |
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``` |
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|
