End of training
Browse files- .gitattributes +5 -0
- README.md +106 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- image_4.png +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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README.md
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+
---
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| 2 |
+
base_model: stabilityai/stable-diffusion-3.5-medium
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| 3 |
+
library_name: diffusers
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| 4 |
+
license: other
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| 5 |
+
instance_prompt: A photo of a strawberry leaf with very early signs of ytr chilli
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| 6 |
+
thrips infestation, slight vein darkening, minor discoloration near midrib, mostly
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| 7 |
+
green and healthy-looking, detailed close-up, intricate details, natural lighting,
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| 8 |
+
highly realistic
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| 9 |
+
widget:
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| 10 |
+
- text: A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation,
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| 11 |
+
slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking,
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| 12 |
+
detailed close-up, intricate details, natural lighting, highly realistic
|
| 13 |
+
output:
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| 14 |
+
url: image_0.png
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| 15 |
+
- text: A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation,
|
| 16 |
+
slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking,
|
| 17 |
+
detailed close-up, intricate details, natural lighting, highly realistic
|
| 18 |
+
output:
|
| 19 |
+
url: image_1.png
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| 20 |
+
- text: A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation,
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| 21 |
+
slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking,
|
| 22 |
+
detailed close-up, intricate details, natural lighting, highly realistic
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| 23 |
+
output:
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| 24 |
+
url: image_2.png
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| 25 |
+
- text: A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation,
|
| 26 |
+
slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking,
|
| 27 |
+
detailed close-up, intricate details, natural lighting, highly realistic
|
| 28 |
+
output:
|
| 29 |
+
url: image_3.png
|
| 30 |
+
- text: A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation,
|
| 31 |
+
slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking,
|
| 32 |
+
detailed close-up, intricate details, natural lighting, highly realistic
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| 33 |
+
output:
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| 34 |
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url: image_4.png
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| 35 |
+
tags:
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| 36 |
+
- text-to-image
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| 37 |
+
- diffusers-training
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| 38 |
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- diffusers
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| 39 |
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- lora
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| 40 |
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- template:sd-lora
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| 41 |
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- sd3
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| 42 |
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- sd3-diffusers
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| 43 |
+
---
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| 44 |
+
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| 45 |
+
<!-- This model card has been generated automatically according to the information the training script had access to. You
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| 46 |
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should probably proofread and complete it, then remove this comment. -->
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| 47 |
+
|
| 48 |
+
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| 49 |
+
# SD3 DreamBooth LoRA - nitindominicrai/Strawberry_pests
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| 50 |
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<Gallery />
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| 53 |
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## Model description
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| 54 |
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These are nitindominicrai/Strawberry_pests DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-medium.
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| 56 |
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| 57 |
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The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
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Was LoRA for the text encoder enabled? False.
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| 60 |
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| 61 |
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## Trigger words
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You should use `A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation, slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking, detailed close-up, intricate details, natural lighting, highly realistic` to trigger the image generation.
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| 65 |
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## Download model
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[Download the *.safetensors LoRA](nitindominicrai/Strawberry_pests/tree/main) in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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| 70 |
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```py
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| 72 |
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from diffusers import AutoPipelineForText2Image
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import torch
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| 74 |
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pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3.5-medium, torch_dtype=torch.float16).to('cuda')
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| 75 |
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pipeline.load_lora_weights('nitindominicrai/Strawberry_pests', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('A photo of a strawberry leaf with very early signs of ytr chilli thrips infestation, slight vein darkening, minor discoloration near midrib, mostly green and healthy-looking, detailed close-up, intricate details, natural lighting, highly realistic').images[0]
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```
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/nitindominicrai/Strawberry_pests/blob/main/diffusers_lora_weights.safetensors)**.
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+
- Rename it and place it on your `models/Lora` folder.
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- On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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## License
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| 88 |
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Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md).
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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