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abrarlohia
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text-2-image-3d-render

Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Model card Files
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End of training

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  1. README.md +43 -0
  2. checkpoint-12000/model.safetensors +3 -0
  3. checkpoint-12000/optimizer.bin +3 -0
  4. checkpoint-12000/pytorch_lora_weights.safetensors +3 -0
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  32. image_0.png +0 -0
  33. image_1.png +0 -0
  34. image_2.png +0 -0
  35. image_3.png +0 -0
  36. logs/text2image-fine-tune/1718170382.068317/events.out.tfevents.1718170382.e2e-85-47.45123.1 +3 -0
  37. logs/text2image-fine-tune/1718170382.0701694/hparams.yml +50 -0
  38. logs/text2image-fine-tune/events.out.tfevents.1718170382.e2e-85-47.45123.0 +3 -0
  39. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ library_name: diffusers
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - diffusers-training
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+ - lora
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+ base_model: runwayml/stable-diffusion-v1-5
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+ inference: true
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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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+ # LoRA text2image fine-tuning - abrarlohia/text-2-image-3d-render
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the abrarlohia/generic_object dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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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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+ adam_beta1: 0.9
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ cache_dir: null
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+ caption_column: Caption
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+ center_crop: true
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+ dataset_name: abrarlohia/generic_object
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+ enable_xformers_memory_efficient_attention: false
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+ num_validation_images: 4
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+ output_dir: /root/abrar/instant3d/lora_training/generic_object
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ validation_prompt: a close up of a blue chair with black legs
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