
# Tune-A-Video - Redshift

## Model Description
- Base model: [nitrosocke/redshift-diffusion](https://huggingface.co/nitrosocke/redshift-diffusion)
- Training prompt: a man is skiing.
![sample-train](samples/train.gif)

## Samples

![sample-500](samples/sample-500.gif)
Test prompt: (redshift style) [spider man/black widow/batman/hulk] is skiing.

## Usage
Clone the [github repo](https://github.com/showlab/Tune-A-Video)
```bash
git clone https://github.com/showlab/Tune-A-Video.git
```

Run inference code

```python
from tuneavideo.pipelines.pipeline_tuneavideo import TuneAVideoPipeline
from tuneavideo.models.unet import UNet3DConditionModel
from tuneavideo.util import save_videos_grid
import torch

pretrained_model_path = "nitrosocke/redshift-diffusion"
unet_model_path = "Tune-A-Video-library/redshift-man-skiing"
unet = UNet3DConditionModel.from_pretrained(unet_model_path, subfolder='unet', torch_dtype=torch.float16).to('cuda')
pipe = TuneAVideoPipeline.from_pretrained(pretrained_model_path, unet=unet, torch_dtype=torch.float16).to("cuda")
pipe.enable_xformers_memory_efficient_attention()

prompt = "(redshift style) spider man is skiing"
video = pipe(prompt, video_length=8, height=512, width=512, num_inference_steps=50, guidance_scale=7.5).videos

save_videos_grid(video, f"./{prompt}.gif")
```

## Related Papers:
- [Tune-A-Video](https://arxiv.org/abs/2212.11565): One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
- [Stable Diffusion](https://arxiv.org/abs/2112.10752): High-Resolution Image Synthesis with Latent Diffusion Models

{"license": "creativeml-openrail-m", "tags": ["tune-a-video", "text-to-video", "diffusers"], "base_model": "nitrosocke/redshift-diffusion", "training_prompt": "A man is skiing.", "inference": false}
diffusers tune-a-video text-to-video arxiv:2212.11565 arxiv:2112.10752 base_model:nitrosocke/redshift-diffusion license:creativeml-openrail-m has_space diffusers:TuneAVideoPipeline region:us
TAGS
#diffusers #tune-a-video #text-to-video #arxiv-2212.11565 #arxiv-2112.10752 #base_model-nitrosocke/redshift-diffusion #license-creativeml-openrail-m #has_space #diffusers-TuneAVideoPipeline #region-us 


# Tune-A-Video - Redshift

## Model Description
- Base model: nitrosocke/redshift-diffusion
- Training prompt: a man is skiing.
!sample-train

## Samples

!sample-500
Test prompt: (redshift style) [spider man/black widow/batman/hulk] is skiing.

## Usage
Clone the github repo


Run inference code



## Related Papers:
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
- Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models

# Tune-A-Video - Redshift ## Model Description
- Base model: nitrosocke/redshift-diffusion
- Training prompt: a man is skiing.
!sample-train ## Samples

!sample-500
Test prompt: (redshift style) [spider man/black widow/batman/hulk] is skiing. ## Usage
Clone the github repo


Run inference code ## Related Papers:
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
- Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models
TAGS
#diffusers #tune-a-video #text-to-video #arxiv-2212.11565 #arxiv-2112.10752 #base_model-nitrosocke/redshift-diffusion #license-creativeml-openrail-m #has_space #diffusers-TuneAVideoPipeline #region-us 
 # Tune-A-Video - Redshift ## Model Description
- Base model: nitrosocke/redshift-diffusion
- Training prompt: a man is skiing.
!sample-train ## Samples

!sample-500
Test prompt: (redshift style) [spider man/black widow/batman/hulk] is skiing. ## Usage
Clone the github repo


Run inference code ## Related Papers:
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
- Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models
TAGS
#diffusers #tune-a-video #text-to-video #arxiv-2212.11565 #arxiv-2112.10752 #base_model-nitrosocke/redshift-diffusion #license-creativeml-openrail-m #has_space #diffusers-TuneAVideoPipeline #region-us 
# Tune-A-Video - Redshift## Model Description
- Base model: nitrosocke/redshift-diffusion
- Training prompt: a man is skiing.
!sample-train## Samples

!sample-500
Test prompt: (redshift style) [spider man/black widow/batman/hulk] is skiing.## Usage
Clone the github repo


Run inference code## Related Papers:
- Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
- Stable Diffusion: High-Resolution Image Synthesis with Latent Diffusion Models