End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +1 -0
- README.md +48 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scaler.pt +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10000/unet/config.json +71 -0
- checkpoint-10000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10000/unet_ema/config.json +78 -0
- checkpoint-10000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-11000/optimizer.bin +3 -0
- checkpoint-11000/random_states_0.pkl +3 -0
- checkpoint-11000/scaler.pt +3 -0
- checkpoint-11000/scheduler.bin +3 -0
- checkpoint-11000/unet/config.json +71 -0
- checkpoint-11000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-11000/unet_ema/config.json +78 -0
- checkpoint-11000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scaler.pt +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-12000/unet/config.json +71 -0
- checkpoint-12000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-12000/unet_ema/config.json +78 -0
- checkpoint-12000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-13000/optimizer.bin +3 -0
- checkpoint-13000/random_states_0.pkl +3 -0
- checkpoint-13000/scaler.pt +3 -0
- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-13000/unet/config.json +71 -0
- checkpoint-13000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-13000/unet_ema/config.json +78 -0
- checkpoint-13000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scaler.pt +3 -0
- checkpoint-14000/scheduler.bin +3 -0
- checkpoint-14000/unet/config.json +71 -0
- checkpoint-14000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14000/unet_ema/config.json +78 -0
- checkpoint-14000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15000/optimizer.bin +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scaler.pt +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- checkpoint-15000/unet/config.json +71 -0
- checkpoint-15000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15000/unet_ema/config.json +78 -0
- checkpoint-15000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
.gitattributes
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val_imgs_grid.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2
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datasets:
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- rgres/AerialDreams
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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# Text-to-image finetuning - rgres/Seg2Map-finetuned
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This pipeline was finetuned from **stabilityai/stable-diffusion-2** on the **rgres/AerialDreams** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ["Chemin de Saint-Antoine, Saint-Cyr-sur-Mer, Toulon, Var, Provence-Alpes-Cote d'Azur, Frane", 'Aerial view of Rond-Point de la 1e Armee Francaise - Lieutenant Paul Meyer, Mulhouse, Haut-Rhin, Grand Est, France metropolitaine, 68100, France', '31, Rue Molière, SS ace Coeur, Pyramides, La Roche-sur-Yon, Vendee, Pays de la Loire, France metropolitaine, 85000, France', 'Aerial view of Mourenx, Pau, Pyrenees-Atlantiques, Nouvelle-Aquitaine, France metropolitaine, 64150, France', '17 rue du moutier, Angousrine-Vileneuve-Les-Escaldes, Pyrenees Orientales, Occitanie, France metropolitaine, 66760, France']:
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![val_imgs_grid](./val_imgs_grid.png)
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## Pipeline usage
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You can use the pipeline like so:
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```python
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from diffusers import DiffusionPipeline
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import torch
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pipeline = DiffusionPipeline.from_pretrained("rgres/Seg2Map-finetuned", torch_dtype=torch.float16)
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prompt = "Chemin de Saint-Antoine, Saint-Cyr-sur-Mer, Toulon, Var, Provence-Alpes-Cote d'Azur, Frane"
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image = pipeline(prompt).images[0]
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image.save("my_image.png")
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```
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## Training info
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These are the key hyperparameters used during training:
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* Epochs: 1
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* Learning rate: 1e-05
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* Batch size: 1
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* Gradient accumulation steps: 4
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* Image resolution: 512
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* Mixed-precision: fp16
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More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/rubengres/text2image-fine-tune/runs/u9u76o1e).
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checkpoint-10000/optimizer.bin
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checkpoint-11000/unet/config.json
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checkpoint-11000/unet/diffusion_pytorch_model.safetensors
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checkpoint-11000/unet_ema/config.json
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checkpoint-11000/unet_ema/diffusion_pytorch_model.safetensors
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checkpoint-12000/optimizer.bin
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checkpoint-12000/random_states_0.pkl
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checkpoint-12000/scaler.pt
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checkpoint-12000/scheduler.bin
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checkpoint-12000/unet/config.json
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checkpoint-12000/unet/diffusion_pytorch_model.safetensors
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checkpoint-12000/unet_ema/config.json
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