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End of training

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  1. .gitattributes +4 -0
  2. 200_lora.pt +3 -0
  3. 200_lora_config.json +1 -0
  4. README.md +21 -0
  5. image_0.png +3 -0
  6. image_1.png +3 -0
  7. image_2.png +3 -0
  8. image_3.png +3 -0
.gitattributes CHANGED
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200_lora_config.json ADDED
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+ {"peft_config": {"task_type": null, "peft_type": "LORA", "auto_mapping": null, "peft_version": "0.19.1", "base_model_name_or_path": null, "revision": null, "inference_mode": false, "r": 4, "target_modules": ["to_v", "query", "value", "to_q"], "exclude_modules": null, "lora_alpha": 4, "lora_dropout": 0.0, "fan_in_fan_out": false, "bias": "none", "use_rslora": false, "modules_to_save": null, "init_lora_weights": true, "layers_to_transform": null, "layers_pattern": null, "rank_pattern": {}, "alpha_pattern": {}, "megatron_config": null, "megatron_core": "megatron.core", "trainable_token_indices": null, "loftq_config": {}, "eva_config": null, "corda_config": null, "lora_ga_config": null, "use_dora": false, "alora_invocation_tokens": null, "use_qalora": false, "qalora_group_size": 16, "layer_replication": null, "lora_bias": false, "target_parameters": null, "use_bdlora": null, "arrow_config": null, "ensure_weight_tying": false}}
README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: segmind/tiny-sd
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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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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - TeddyVDobreva/5e-4_20hyperparameter_tuning
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+ These are LoRA adaption weights for segmind/tiny-sd. The weights were fine-tuned on the AML-group10/AML_project_preprocessed_dataset 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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