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Gstar666
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Reward-InsPix2Pix

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Diffusers library
# Gated model: Login with a HF token with gated access permission
hf auth login
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Gstar666/Reward-InsPix2Pix", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

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InsPix2Pix

We retrained the InsPix2Pix model on our code based on the original data.

Reward-InsPix2Pix

Based on the InsPix2Pix model, we have added our designed MRC Module. This module can process reward information and guide the model.

License

This project is licensed under the MIT License, while model weights are fully open for academic research and also allow free commercial usage.

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