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End of training

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  1. .gitattributes +1 -0
  2. README.md +48 -0
  3. feature_extractor/preprocessor_config.json +29 -0
  4. logs/text2image-fine-tune/1704350095.1492045/events.out.tfevents.1704350095.4ce07924bfdd.758.1 +3 -0
  5. logs/text2image-fine-tune/1704350095.150961/hparams.yml +52 -0
  6. logs/text2image-fine-tune/1704352186.779532/events.out.tfevents.1704352186.4ce07924bfdd.758.3 +3 -0
  7. logs/text2image-fine-tune/1704352186.7812426/hparams.yml +52 -0
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  10. logs/text2image-fine-tune/1704352528.06429/events.out.tfevents.1704352528.4ce07924bfdd.758.7 +3 -0
  11. logs/text2image-fine-tune/1704352528.0660906/hparams.yml +52 -0
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  15. logs/text2image-fine-tune/events.out.tfevents.1704352186.4ce07924bfdd.758.2 +3 -0
  16. logs/text2image-fine-tune/events.out.tfevents.1704352337.4ce07924bfdd.758.4 +3 -0
  17. logs/text2image-fine-tune/events.out.tfevents.1704352528.4ce07924bfdd.758.6 +3 -0
  18. logs/text2image-fine-tune/events.out.tfevents.1704353329.4ce07924bfdd.758.8 +3 -0
  19. model_index.json +38 -0
  20. safety_checker/config.json +28 -0
  21. safety_checker/model.safetensors +3 -0
  22. scheduler/scheduler_config.json +15 -0
  23. text_encoder/config.json +25 -0
  24. text_encoder/model.safetensors +3 -0
  25. tokenizer/merges.txt +0 -0
  26. tokenizer/special_tokens_map.json +24 -0
  27. tokenizer/tokenizer_config.json +30 -0
  28. tokenizer/vocab.json +0 -0
  29. unet/config.json +68 -0
  30. unet/diffusion_pytorch_model.safetensors +3 -0
  31. vae/config.json +32 -0
  32. vae/diffusion_pytorch_model.safetensors +3 -0
  33. val_imgs_grid.png +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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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: runwayml/stable-diffusion-v1-5
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+ datasets:
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+ - lambdalabs/pokemon-blip-captions
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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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+ inference: true
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+ ---
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+
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+ # Text-to-image finetuning - shrikant11/pokemon_text_to_image_2
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+
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+ This bla bla pipeline was finetuned from **runwayml/stable-diffusion-v1-5** on the **lambdalabs/pokemon-blip-captions** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Pokemon with yellow eyes', 'Green colour pokemon', 'Blue colour pikacchu', 'Charlizzard', 'pikachu', 'dangerous looking pokemon']:
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+
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+ ![val_imgs_grid](./val_imgs_grid.png)
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+
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+
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+ ## Pipeline usage
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+
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+ You can use the pipeline like so:
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+
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+ ```python
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+ from diffusers import DiffusionPipeline
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+ import torch
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+
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+ pipeline = DiffusionPipeline.from_pretrained("shrikant11/pokemon_text_to_image_2", torch_dtype=torch.float16)
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+ prompt = "Pokemon with yellow eyes"
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+ image = pipeline(prompt).images[0]
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+ image.save("my_image.png")
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+ ```
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+
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+ ## Training info
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+
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+ These are the key hyperparameters used during training:
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+
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+ * Epochs: 1
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+ * Learning rate: 1e-05
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+ * Batch size: 1
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+ * Gradient accumulation steps: 1
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+ * Image resolution: 512
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+ * Mixed-precision: None
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+
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+
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+ More information on all the CLI arguments and the environment are available on your [`wandb` run page]().
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