End of training
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- .gitattributes +1 -0
- README.md +48 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/unet/config.json +66 -0
- checkpoint-1000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1000/unet_ema/config.json +73 -0
- checkpoint-1000/unet_ema/diffusion_pytorch_model.safetensors +3 -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 +66 -0
- checkpoint-10000/unet/diffusion_pytorch_model.safetensors +3 -0
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- checkpoint-10000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10500/optimizer.bin +3 -0
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- checkpoint-10500/scaler.pt +3 -0
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- checkpoint-10500/unet/config.json +66 -0
- checkpoint-10500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-10500/unet_ema/config.json +73 -0
- checkpoint-10500/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 +66 -0
- checkpoint-11000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-11000/unet_ema/config.json +73 -0
- checkpoint-11000/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-11500/optimizer.bin +3 -0
- checkpoint-11500/random_states_0.pkl +3 -0
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- checkpoint-11500/unet/config.json +66 -0
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- checkpoint-11500/unet_ema/diffusion_pytorch_model.safetensors +3 -0
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- checkpoint-12000/unet_ema/config.json +73 -0
- checkpoint-12000/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: CompVis/stable-diffusion-v1-4
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datasets:
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- ohicarip/deepfashion_bl2
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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 - ohicarip/sd-deepfashion-baseline-model
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This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on the **ohicarip/deepfashion_bl2** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['This man wears a long-sleeve sweater with pure color patterns. The sweater is with cotton fabric. It has a round neckline. The pants this man wears is of long length. The pants are with denim fabric and solid color patterns. The outer clothing the gentleman wears is with cotton fabric and solid color patterns. There is an accessory on his wrist.', 'This person is wearing a short-sleeve shirt with pure color patterns. The shirt is with cotton fabric. It has a round neckline. This person wears a long trousers. The trousers are with denim fabric and lattice patterns.', 'This guy is wearing a short-sleeve shirt with solid color patterns and a long pants. The shirt is with cotton fabric and its neckline is crew. The pants are with denim fabric and solid color patterns.', 'This female is wearing a tank tank shirt with plaid patterns and a three-point shorts. The tank shirt is with cotton fabric. The neckline of the tank shirt is crew. The shorts are with cotton fabric and plaid patterns. This lady wears socks in shoes.']:
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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("ohicarip/sd-deepfashion-baseline-model", torch_dtype=torch.float16)
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prompt = "This man wears a long-sleeve sweater with pure color patterns. The sweater is with cotton fabric. It has a round neckline. The pants this man wears is of long length. The pants are with denim fabric and solid color patterns. The outer clothing the gentleman wears is with cotton fabric and solid color patterns. There is an accessory on his wrist."
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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: 15
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* Learning rate: 1e-05
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* Batch size: 8
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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/ohicarip/text2image-fine-tune/runs/6en1otkv).
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checkpoint-1000/optimizer.bin
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size 563
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checkpoint-10000/unet/config.json
ADDED
@@ -0,0 +1,66 @@
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checkpoint-10000/unet/diffusion_pytorch_model.safetensors
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size 3438167536
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checkpoint-10000/unet_ema/config.json
ADDED
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checkpoint-10000/unet_ema/diffusion_pytorch_model.safetensors
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checkpoint-10500/random_states_0.pkl
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checkpoint-10500/unet/config.json
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checkpoint-10500/unet/diffusion_pytorch_model.safetensors
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checkpoint-10500/unet_ema/config.json
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@@ -0,0 +1,73 @@
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checkpoint-11500/unet_ema/config.json
ADDED
@@ -0,0 +1,73 @@
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|
1 |
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{
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2 |
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"_class_name": "UNet2DConditionModel",
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3 |
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"_diffusers_version": "0.21.0.dev0",
|
4 |
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"_name_or_path": "CompVis/stable-diffusion-v1-4",
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"act_fn": "silu",
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"decay": 0.9999,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"dual_cross_attention": false,
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"flip_sin_to_cos": true,
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"in_channels": 4,
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"inv_gamma": 1.0,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"min_decay": 0.0,
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"norm_eps": 1e-05,
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"out_channels": 4,
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"power": 0.6666666666666666,
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"resnet_out_scale_factor": 1.0,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
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"up_block_types": [
|
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"UpBlock2D",
|
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"CrossAttnUpBlock2D",
|
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
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"update_after_step": 0,
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"use_ema_warmup": false,
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"use_linear_projection": false
|
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}
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checkpoint-11500/unet_ema/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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checkpoint-12000/optimizer.bin
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checkpoint-12000/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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checkpoint-12000/scaler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-12000/scheduler.bin
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checkpoint-12000/unet/config.json
ADDED
@@ -0,0 +1,66 @@
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{
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"_class_name": "UNet2DConditionModel",
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
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"use_linear_projection": false
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}
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checkpoint-12000/unet/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 3438167536
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checkpoint-12000/unet_ema/config.json
ADDED
@@ -0,0 +1,73 @@
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{
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"_class_name": "UNet2DConditionModel",
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"DownBlock2D"
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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|
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}
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checkpoint-12000/unet_ema/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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