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trained-sd3-visplay_lora_medium_7

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Diffusers
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
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  1. .gitattributes +4 -0
  2. README.md +91 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scaler.pt +3 -0
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  14. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
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  16. checkpoint-2000/scaler.pt +3 -0
  17. checkpoint-2000/scheduler.bin +3 -0
  18. checkpoint-2500/optimizer.bin +3 -0
  19. checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
  20. checkpoint-2500/random_states_0.pkl +3 -0
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  22. checkpoint-2500/scheduler.bin +3 -0
  23. checkpoint-3000/optimizer.bin +3 -0
  24. checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
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  26. checkpoint-3000/scaler.pt +3 -0
  27. checkpoint-3000/scheduler.bin +3 -0
  28. checkpoint-3500/optimizer.bin +3 -0
  29. checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
  30. checkpoint-3500/random_states_0.pkl +3 -0
  31. checkpoint-3500/scaler.pt +3 -0
  32. checkpoint-3500/scheduler.bin +3 -0
  33. checkpoint-4000/optimizer.bin +3 -0
  34. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
  35. checkpoint-4000/random_states_0.pkl +3 -0
  36. checkpoint-4000/scaler.pt +3 -0
  37. checkpoint-4000/scheduler.bin +3 -0
  38. checkpoint-4500/optimizer.bin +3 -0
  39. checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  40. checkpoint-4500/random_states_0.pkl +3 -0
  41. checkpoint-4500/scaler.pt +3 -0
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  43. checkpoint-500/optimizer.bin +3 -0
  44. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  45. checkpoint-500/random_states_0.pkl +3 -0
  46. checkpoint-500/scaler.pt +3 -0
  47. checkpoint-500/scheduler.bin +3 -0
  48. checkpoint-5000/optimizer.bin +3 -0
  49. checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
  50. checkpoint-5000/random_states_0.pkl +3 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ image_0.png filter=lfs diff=lfs merge=lfs -text
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+ image_1.png filter=lfs diff=lfs merge=lfs -text
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+ image_2.png filter=lfs diff=lfs merge=lfs -text
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+ image_3.png filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-3.5-medium
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+ library_name: diffusers
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+ license: other
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+ instance_prompt: a realistic design of a retail shop using QuboM interior system of
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+ visplay metal system provider
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+ widget:
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+ - text: a realistic design of a retail shop using QuboM interior system
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+ output:
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+ url: image_0.png
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+ - text: a realistic design of a retail shop using QuboM interior system
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+ output:
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+ url: image_1.png
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+ - text: a realistic design of a retail shop using QuboM interior system
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+ output:
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+ url: image_2.png
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+ - text: a realistic design of a retail shop using QuboM interior system
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+ output:
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+ url: image_3.png
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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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+ - template:sd-lora
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+ - sd3
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+ - sd3-diffusers
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+ ---
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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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+
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+
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+ # SD3 DreamBooth LoRA - Shubham9280/trained-sd3-visplay_lora_medium_7
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are Shubham9280/trained-sd3-visplay_lora_medium_7 DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-medium.
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+
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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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+
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+ Was LoRA for the text encoder enabled? False.
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+
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+ ## Trigger words
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+
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+ You should use `a realistic design of a retail shop using QuboM interior system of visplay metal system provider` to trigger the image generation.
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+
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+ ## Download model
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+
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+ [Download the *.safetensors LoRA](Shubham9280/trained-sd3-visplay_lora_medium_7/tree/main) in the Files & versions tab.
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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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(stabilityai/stable-diffusion-3.5-medium, torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('Shubham9280/trained-sd3-visplay_lora_medium_7', weight_name='pytorch_lora_weights.safetensors')
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+ image = pipeline('a realistic design of a retail shop using QuboM interior system').images[0]
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+ ```
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+
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+ ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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+
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+ - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/Shubham9280/trained-sd3-visplay_lora_medium_7/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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+
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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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+
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+ ## License
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+
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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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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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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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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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