End of training

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README.md

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+---
+base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
+library_name: diffusers
+license: creativeml-openrail-m
+inference: true
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- diffusers-training
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# Text-to-image finetuning - elephantmipt/test_tuned_sd_15
+
+This pipeline was finetuned from **stable-diffusion-v1-5/stable-diffusion-v1-5** on the **None** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['IMAGE_ TYPE Cocktail Photography  GENRE Coktail Shooting Lowlight  EMOTION I want to drink it  SCENE A beautiful and refreshing glass of a drink called lychee spritz , decorated set against a dreamy background lowlight, fitting to the image  ACTORS None  LOCATION TYPE Studio  CAMERA MODEL Nikon D850  CAMERA LENSE 60mm f 2. 8 Macro  SPECIAL EFFECTS Dreamy bokeh  TIME_ OF_ DAY Studio lighting  INTERACTION None '
+ 'Gandalf, Saruman, Radagast. Blue Wizards perform a captivating magic ritual intense focus, vibrant colors swirl like airborne gas. Mystical pentagram unites them. '
+ 'wide shot, desert, wall, nature, fuchsia pink, brick red, ochre yellow, pale pink, chipotle orange '
+ 'disney pixar style character, dodge challenger srt hellcat illustration drifting under the ocean, cartoon, super detail, no text, 8k, render 3d, wide view vision '
+ 'wide shoot of a typical farm in rural surroundings, near a clear water lake, beautiful flowers blooming , forest, saplings, moss, beautiful, epic lighting, ultrasharp, nikon 12mm f15 '
+ 'dramtic sky backgraund '
+ 'underwater lake, dusk, scarry, blue green bright shining, deep water, nessi, lake ness'
+ 'Darkside Anakin Skywalker played by young Hayden Christensen with sith eyes, and a red lightsaber, hyperrealistic, cinematic, professional photo lighting, intricately detailed, cinematic lighting, 8k, ultra  detailed, ultra  realistic, photorealistic, camera Leica m11 quality with 30mm lens ']: 
+
+![val_imgs_grid](./val_imgs_grid.png)
+
+
+## Pipeline usage
+
+You can use the pipeline like so:
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+pipeline = DiffusionPipeline.from_pretrained("elephantmipt/test_tuned_sd_15", torch_dtype=torch.float16)
+prompt = "IMAGE_ TYPE Cocktail Photography  GENRE Coktail Shooting Lowlight  EMOTION I want to drink it  SCENE A beautiful and refreshing glass of a drink called lychee spritz , decorated set against a dreamy background lowlight, fitting to the image  ACTORS None  LOCATION TYPE Studio  CAMERA MODEL Nikon D850  CAMERA LENSE 60mm f 2. 8 Macro  SPECIAL EFFECTS Dreamy bokeh  TIME_ OF_ DAY Studio lighting  INTERACTION None "
+image = pipeline(prompt).images[0]
+image.save("my_image.png")
+```
+
+## Training info
+
+These are the key hyperparameters used during training:
+
+* Epochs: 14
+* Learning rate: 8e-05
+* Batch size: 20
+* Gradient accumulation steps: 1
+* Image resolution: 512
+* Mixed-precision: bf16
+
+
+More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/harmless_ai/alchemist/runs/qspja0u3).
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]