End of training
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- README.md +21 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_model.bin +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10500/optimizer.bin +3 -0
- checkpoint-10500/pytorch_model.bin +3 -0
- checkpoint-10500/random_states_0.pkl +3 -0
- checkpoint-10500/scheduler.bin +3 -0
- checkpoint-11000/optimizer.bin +3 -0
- checkpoint-11000/pytorch_model.bin +3 -0
- checkpoint-11000/random_states_0.pkl +3 -0
- checkpoint-11000/scheduler.bin +3 -0
- checkpoint-11500/optimizer.bin +3 -0
- checkpoint-11500/pytorch_model.bin +3 -0
- checkpoint-11500/random_states_0.pkl +3 -0
- checkpoint-11500/scheduler.bin +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/pytorch_model.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-12500/optimizer.bin +3 -0
- checkpoint-12500/pytorch_model.bin +3 -0
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- checkpoint-12500/scheduler.bin +3 -0
- checkpoint-13000/optimizer.bin +3 -0
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- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-13500/optimizer.bin +3 -0
- checkpoint-13500/pytorch_model.bin +3 -0
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- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/pytorch_model.bin +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scheduler.bin +3 -0
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- checkpoint-14500/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_model.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-15000/optimizer.bin +3 -0
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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inference: true
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---
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# LoRA text2image fine-tuning - peddle/pokemon-lora
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1000
|
checkpoint-1500/optimizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 6592122
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checkpoint-1500/pytorch_model.bin
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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size 3286410
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checkpoint-1500/random_states_0.pkl
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 14408
|
checkpoint-1500/scheduler.bin
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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size 1000
|
checkpoint-15000/optimizer.bin
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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size 6592122
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