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Update README.md
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README.md
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@@ -87,9 +87,10 @@ image.save("fantasy_forest_illustration.png")
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- #### Stable:
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- [Sygil Diffusion v0.1](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.1.ckpt): Trained on Stable Diffusion 1.5 for 800,000 steps.
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- [Sygil Diffusion v0.2](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.2.ckpt): Resumed from Sygil Diffusion v0.1 and trained for a total of 1.77 million steps.
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- [Sygil Diffusion v0.3](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.3.ckpt): Resumed from Sygil Diffusion v0.2 and trained for a total of 2.01 million steps
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- #### Beta:
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- [sygil-diffusion-v0.
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Note: Checkpoints under the Beta section are updated daily or at least 3-4 times a week. This is usually the equivalent of 1-2 training session,
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this is done until they are stable enough to be moved into a proper release, usually every 1 or 2 weeks.
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**Hardware and others**
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- **Hardware:** 1 x Nvidia RTX 3050 8GB GPU
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- **Hours Trained:**
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- **Optimizer:** AdamW
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- **Adam Beta 1**: 0.9
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- **Adam Beta 2**: 0.999
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- **Lora unet Learning Rate**: 1e-7
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- **Lora Text Encoder Learning Rate**: 1e-7
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- **Resolution**: 512 pixels
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- **Total Training Steps:** 2,
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Note: For the learning rate I'm testing something new, after changing from using the `constant` scheduler to `cosine_with_restarts` after v0.3 was released, I noticed
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- #### Stable:
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- [Sygil Diffusion v0.1](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.1.ckpt): Trained on Stable Diffusion 1.5 for 800,000 steps.
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- [Sygil Diffusion v0.2](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.2.ckpt): Resumed from Sygil Diffusion v0.1 and trained for a total of 1.77 million steps.
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- [Sygil Diffusion v0.3](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.3.ckpt): Resumed from Sygil Diffusion v0.2 and trained for a total of 2.01 million steps.
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- [Sygil Diffusion v0.4](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.4.ckpt): Resumed from Sygil Diffusion v0.3 and trained for a total of 2.37 million steps.
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- #### Beta:
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- [sygil-diffusion-v0.4_2370200_lora.ckpt](https://huggingface.co/Sygil/Sygil-Diffusion/blob/main/sygil-diffusion-v0.4.ckpt): Resumed from Sygil Diffusion v0.3 and trained for a total of 2.37 million steps so far.
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Note: Checkpoints under the Beta section are updated daily or at least 3-4 times a week. This is usually the equivalent of 1-2 training session,
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this is done until they are stable enough to be moved into a proper release, usually every 1 or 2 weeks.
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**Hardware and others**
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- **Hardware:** 1 x Nvidia RTX 3050 8GB GPU
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- **Hours Trained:** 857 hours approximately.
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- **Optimizer:** AdamW
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- **Adam Beta 1**: 0.9
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- **Adam Beta 2**: 0.999
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- **Lora unet Learning Rate**: 1e-7
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- **Lora Text Encoder Learning Rate**: 1e-7
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- **Resolution**: 512 pixels
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- **Total Training Steps:** 2,370,200
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Note: For the learning rate I'm testing something new, after changing from using the `constant` scheduler to `cosine_with_restarts` after v0.3 was released, I noticed
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