
# This model is a fine-tuned diffusion model for unconditional image generation of animefaces. 

Even after fine-tuning the diffusion model for 10 epochs the generated images are still cursed... 💀. Maybe more epochs would help?
![epoch10](dm_anime_epoch10.png)

## Usage

```python
from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('Pie31415/dm_anime')
image = pipeline().images[0]
image
```
{"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"], "datasets": ["huggan/selfie2anime"]}
diffusers pytorch unconditional-image-generation diffusion-models-class dataset:huggan/selfie2anime license:mit diffusers:DDPMPipeline region:us
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #dataset-huggan/selfie2anime #license-mit #diffusers-DDPMPipeline #region-us 


# This model is a fine-tuned diffusion model for unconditional image generation of animefaces. 

Even after fine-tuning the diffusion model for 10 epochs the generated images are still cursed... . Maybe more epochs would help?
!epoch10

## Usage


# This model is a fine-tuned diffusion model for unconditional image generation of animefaces. 

Even after fine-tuning the diffusion model for 10 epochs the generated images are still cursed... . Maybe more epochs would help?
!epoch10 ## Usage
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #dataset-huggan/selfie2anime #license-mit #diffusers-DDPMPipeline #region-us 
 # This model is a fine-tuned diffusion model for unconditional image generation of animefaces. 

Even after fine-tuning the diffusion model for 10 epochs the generated images are still cursed... . Maybe more epochs would help?
!epoch10 ## Usage
TAGS
#diffusers #pytorch #unconditional-image-generation #diffusion-models-class #dataset-huggan/selfie2anime #license-mit #diffusers-DDPMPipeline #region-us 
# This model is a fine-tuned diffusion model for unconditional image generation of animefaces. 

Even after fine-tuning the diffusion model for 10 epochs the generated images are still cursed... . Maybe more epochs would help?
!epoch10## Usage