End of training
Browse files- .gitattributes +3 -0
- .gitignore +2 -0
- README.md +22 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_model.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scaler.pt +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-15000/optimizer.bin +3 -0
- checkpoint-15000/pytorch_model.bin +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scaler.pt +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- checkpoint-20000/optimizer.bin +3 -0
- checkpoint-20000/pytorch_model.bin +3 -0
- checkpoint-20000/random_states_0.pkl +3 -0
- checkpoint-20000/scaler.pt +3 -0
- checkpoint-20000/scheduler.bin +3 -0
- checkpoint-25000/optimizer.bin +3 -0
- checkpoint-25000/pytorch_model.bin +3 -0
- checkpoint-25000/random_states_0.pkl +3 -0
- checkpoint-25000/scaler.pt +3 -0
- checkpoint-25000/scheduler.bin +3 -0
- checkpoint-30000/optimizer.bin +3 -0
- checkpoint-30000/pytorch_model.bin +3 -0
- checkpoint-30000/random_states_0.pkl +3 -0
- checkpoint-30000/scaler.pt +3 -0
- checkpoint-30000/scheduler.bin +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_model.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scaler.pt +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- config.json +104 -0
- diffusion_pytorch_model.bin +3 -0
- diffusion_pytorch_model.safetensors +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
.gitattributes
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@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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.gitignore
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step_*
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README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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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- lora
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- controlnet
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- control-lora
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inference: true
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---
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# ControlLoRA text2image fine-tuning - https://huggingface.co/wtcherr/sd-unsplash_5k_canny-model-control-lora
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These are ControlLoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the wtcherr/unsplash_5k_canny dataset. You can find some example images in the following.
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{
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"_class_name": "ControlLoRA",
|
| 3 |
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"_diffusers_version": "0.17.0.dev0",
|
| 4 |
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"act_fn": "silu",
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"block_out_channels": [
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32,
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64,
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128,
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256
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],
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"down_block_types": [
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"SimpleDownEncoderBlock2D",
|
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
|
| 16 |
+
],
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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| 34 |
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|
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| 38 |
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|
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|
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| 41 |
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| 49 |
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| 50 |
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|
| 51 |
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|
| 52 |
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| 53 |
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[
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| 54 |
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| 55 |
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| 56 |
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| 58 |
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| 59 |
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| 60 |
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|
| 61 |
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|
| 62 |
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| 63 |
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| 64 |
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|
| 65 |
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[
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| 66 |
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| 70 |
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|
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|
| 77 |
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|
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|
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| 82 |
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|
| 83 |
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|
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|
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|
| 86 |
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|
| 87 |
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|
| 88 |
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"lora_pre_conv_types": [
|
| 89 |
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|
| 90 |
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|
| 91 |
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"SimpleDownEncoderBlock2D",
|
| 92 |
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"SimpleDownEncoderBlock2D"
|
| 93 |
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],
|
| 94 |
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"lora_pre_down_block_types": [
|
| 95 |
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null,
|
| 96 |
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|
| 97 |
+
"SimpleDownEncoderBlock2D",
|
| 98 |
+
"SimpleDownEncoderBlock2D"
|
| 99 |
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],
|
| 100 |
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"lora_pre_down_layers_per_block": 1,
|
| 101 |
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"lora_rank": 4,
|
| 102 |
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"lora_value_states_skipped": false,
|
| 103 |
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"norm_num_groups": 32
|
| 104 |
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}
|
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ADDED
|
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ADDED
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@@ -0,0 +1,3 @@
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|
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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