End of training

.gitattributes

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README.md

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+---
+base_model: stabilityai/stable-diffusion-3.5-large
+library_name: diffusers
+license: other
+instance_prompt: meli icon or illustration
+widget:
+- text: meli icon or illustration of a dog, white_background, meli_style, meli_figure,
+    yellow_theme
+  output:
+    url: image_0.png
+- text: meli icon or illustration of a dog, white_background, meli_style, meli_figure,
+    yellow_theme
+  output:
+    url: image_1.png
+- text: meli icon or illustration of a dog, white_background, meli_style, meli_figure,
+    yellow_theme
+  output:
+    url: image_2.png
+- text: meli icon or illustration of a dog, white_background, meli_style, meli_figure,
+    yellow_theme
+  output:
+    url: image_3.png
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- sd3.5-large
+- sd3.5
+- sd3.5-diffusers
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# SD3.5-Large DreamBooth LoRA - nm9404/ilus_4
+
+<Gallery />
+
+## Model description
+
+These are nm9404/ilus_4 DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-large.
+
+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).
+
+Was LoRA for the text encoder enabled? False.
+
+## Trigger words
+
+You should use `meli icon or illustration` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](nm9404/ilus_4/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('nm9404/ilus_4', weight_name='pytorch_lora_weights.safetensors')
+image = pipeline('meli icon or illustration of a dog, white_background, meli_style, meli_figure, yellow_theme').images[0]
+```
+
+### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
+
+- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/nm9404/ilus_4/blob/main/diffusers_lora_weights.safetensors)**.
+    - Rename it and place it on your `models/Lora` folder.
+    - 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/).
+
+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)
+
+## License
+
+Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md).
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

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