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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
- 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 ']:
## 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] |