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--- |
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license: other |
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library_name: diffusers |
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tags: |
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- text-to-image |
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- diffusers-training |
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- diffusers |
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- lora |
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- replicate |
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- template:sd-lora |
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- sd3.5-large |
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- sd3.5 |
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- sd3.5-diffusers |
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- text-to-image |
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- diffusers-training |
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- diffusers |
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- lora |
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- replicate |
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- template:sd-lora |
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- sd3.5-large |
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- sd3.5 |
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- sd3.5-diffusers |
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base_model: stabilityai/stable-diffusion-3.5-large |
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instance_prompt: '0_1' |
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widget: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the training script had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SD3.5-Large DreamBooth LoRA - fofr/sd35-0_1-webp |
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<Gallery /> |
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## Model description |
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These are fofr/sd35-0_1-webp DreamBooth LoRA weights for stable-diffusion-3.5-large. |
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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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## Trigger words |
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You should use `0_1` to trigger the image generation. |
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## Download model |
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[Download the *.safetensors LoRA](fofr/sd35-0_1-webp/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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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained(stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda') |
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pipeline.load_lora_weights('fofr/sd35-0_1-webp', weight_name='pytorch_lora_weights.safetensors') |
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image = pipeline('0_1').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 💾](/fofr/sd35-0_1-webp/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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Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md). |
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## Training details |
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Trained on Replicate using: [lucataco/stable-diffusion-3.5-large-lora-trainer](https://replicate.com/lucataco/stable-diffusion-3.5-large-lora-trainer) |
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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] |
