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@@ -29,4 +29,31 @@ shape-guided-controlnet/
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  β”œβ”€β”€ model_index.json
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  β”œβ”€β”€ v1-5-pruned.safetensors
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  └── v1-inference.yaml
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  β”œβ”€β”€ model_index.json
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  β”œβ”€β”€ v1-5-pruned.safetensors
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  └── v1-inference.yaml
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+ ```
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+
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+ # Results
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+ Here are some example results generated by the trained model:
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+
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+ 1. "A red bag"
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+ <div align="center">
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+ <img src="examples/conditions/bag.png" alt="Bag" width="200" />
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+ <img src="assets/bag_1.png" alt="Bag 1" width="200" />
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+ <img src="assets/bag_2.png" alt="Bag 2" width="200" />
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+ <img src="assets/bag_3.png" alt="Bag 3" width="200" />
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+ </div>
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+
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+ 2. "A sport car"
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+ <div align="center">
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+ <img src="examples/conditions/sport_car.png" alt="Sport Car" width="200" />
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+ <img src="assets/sport_car_1.png" alt="Sport Car 1" width="200" />
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+ <img src="assets/sport_car_2.png" alt="Sport Car 2" width="200" />
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+ <img src="assets/sport_car_3.png" alt="Sport Car 3" width="200" />
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+ </div>
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+
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+ 3. "A blue truck"
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+ <div align="center">
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+ <img src="examples/conditions/truck.png" alt="Truck" width="200" />
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+ <img src="assets/truck_1.png" alt="Truck 1" width="200" />
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+ <img src="assets/truck_2.png" alt="Truck 2" width="200" />
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+ <img src="assets/truck_3.png" alt="Truck 3" width="200" />
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+ </div>