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Add Replicate demo and API  #13

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Add Replicate demo and API  #13

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -17,6 +17,8 @@ The code was tested on a Tesla V100 16GB but should work on other cards with at

In order to get started, we recommend taking a look at our notebooks: [**prompt-to-prompt_ldm**][p2p-ldm] and [**prompt-to-prompt_stable**][p2p-stable]. The notebooks contain end-to-end examples of usage of prompt-to-prompt on top of *Latent Diffusion* and *Stable Diffusion* respectively. Take a look at these notebooks to learn how to use the different types of prompt edits and understand the API.

[![Replicate](https://replicate.com/cjwbw/prompt-to-prompt/badge)](https://replicate.com/cjwbw/prompt-to-prompt)

## Prompt Edits

In our notebooks, we perform our main logic by implementing the abstract class `AttentionControl` object, of the following form:
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17 changes: 17 additions & 0 deletions cog.yaml
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@@ -0,0 +1,17 @@
build:
gpu: true
cuda: "11.6.2"
python_version: "3.10"
system_packages:
- "libgl1-mesa-glx"
- "libglib2.0-0"
python_packages:
- "ipython==8.4.0"
- "diffusers==0.3.0"
- "torch==1.12.1 --extra-index-url=https://download.pytorch.org/whl/cu116"
- "ftfy==6.1.1"
- "scipy==1.9.0"
- "transformers==4.21.1"
- "ipywidgets==8.0.2"
- "opencv-python==4.6.0.66"
predict: "predict.py:Predictor"
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