Text-to-Image
Diffusers
Safetensors
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StableDiffusionPipeline
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Update README.md

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@@ -19,6 +19,10 @@ These are comparion for this model ran on T4 GPU, compared with segmind/tiny-sd,
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  ![image](./compare.png)
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  ### THIS IS NOT THE FULL DESCRIPTION FOR THIS MODEL.
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  ### License
@@ -33,13 +37,14 @@ The CreativeML OpenRAIL License specifies:
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  Code:
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  ```python
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-
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  import torch
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  from diffusers import StableDiffusionPipeline
 
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  model_id="HyHorX/realistic-diffusion-v1"
 
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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=input("Prompt here:")
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- image=pipe(prompt).images[0]
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  image
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  ```
 
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  ![image](./compare.png)
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+ # Training info
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+
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+ Learing Rate:
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+
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  ### THIS IS NOT THE FULL DESCRIPTION FOR THIS MODEL.
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  ### License
 
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  Code:
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  ```python
 
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  import torch
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  from diffusers import StableDiffusionPipeline
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+ user = "A candid portrait of an elderly person with deep wrinkles, silver hair captured in natural sunlight, wearing a highly detailed coarse wool sweater, dust motes dancing in the light, soft natural backlight, realistic shadows, authentic expression, shot on 35mm film, grainy texture, masterpiece, ultra-realistic"
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  model_id="HyHorX/realistic-diffusion-v1"
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+ neg_prompt="makeup, young, smooth skin, doll, plastic, fake, bad proportions, blurry, high contrast, artificial lighting."
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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=user
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+ image=pipe(prompt,negative_prompt=neg_prompt).images[0]
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  image
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  ```