multimodalart HF staff commited on
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5949694
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Update README.md with the new API

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  1. README.md +9 -15
README.md CHANGED
@@ -24,29 +24,23 @@ Please raise any concerns you may have.
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  ```python
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  # !pip install diffusers
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- from diffusers import DiffusionPipeline
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  import PIL.Image
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  import numpy as np
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- model_id = "CompVis/ldm-text2im-large-256q"
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  # load model and scheduler
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- ldm = DiffusionPipeline.from_pretrained(model_id)
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  # run pipeline in inference (sample random noise and denoise)
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  prompt = "A painting of a squirrel eating a burger"
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- image = ldm([prompt])
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- # process image to PIL
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- image_processed = image.cpu().permute(0, 2, 3, 1)
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- image_processed = (image_processed + 1.0) * 127.5
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- image_processed = image_processed.numpy().astype(np.uint8)
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- image_pil = PIL.Image.fromarray(image_processed[0])
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-
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- # save image
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- image_pil.save("test.png")
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  ```
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- ## Samples
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-
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- TODO ...
 
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  ```python
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  # !pip install diffusers
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+ from diffusers import LDMTextToImagePipeline
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  import PIL.Image
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  import numpy as np
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+ model_id = "CompVis/ldm-text2im-large-256"
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  # load model and scheduler
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+ ldm = LDMTextToImagePipeline.from_pretrained(model_id)
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  # run pipeline in inference (sample random noise and denoise)
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  prompt = "A painting of a squirrel eating a burger"
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+ images = ldm([prompt], num_inference_steps=50, eta=0.3, guidance_scale=0.6, batch_size=1)["sample"]
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+ # save images
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+ for idx, image in enumerate(images):
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+ image.save(f"squirrel-{idx}.png")
 
 
 
 
 
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  ```
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+ ## Demo
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+ [Hugging Face Spaces](https://huggingface.co/spaces/CompVis/ldm-text2im-large-256-diffusers)