Instructions to use PrunaAI/p-image-edit-photo-to-anime-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/p-image-edit-photo-to-anime-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PrunaAI/p-image-edit-photo-to-anime-lora") prompt = "transform into anime" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
File size: 2,289 Bytes
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pipeline_tag: image-to-image
tags:
- image-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/example_001.png
text: transform into anime
- output:
url: images/example_002.png
text: transform into anime
- output:
url: images/example_003.png
text: transform into anime
- output:
url: images/example_004.png
text: transform into anime
- output:
url: images/example_005.png
text: transform into anime
license: apache-2.0
---
# Photo To Anime Lora
<Gallery />
## Model description
This is an image-editing LoRA. Provide an input image and an instruction describing the edit. **Trigger word:** use `transform into anime` in your instructions for best results. The examples below show input → output for different instructions.
## Trigger word
Include **`transform into anime`** in your edit instruction, for example:
```
transform into anime <your edit instruction here>
```
## Gallery
### Example 1

*Prompt:* transform into anime
*Input:* 
### Example 2

*Prompt:* transform into anime
*Input:* 
### Example 3

*Prompt:* transform into anime
*Input:* 
### Example 4

*Prompt:* transform into anime
*Input:* 
### Example 5

*Prompt:* transform into anime
*Input:* 
## LoRA scale
The gallery was generated with **`lora_scale=1.0`**. You can tune this when running inference (e.g. lower for a subtler effect, higher for a stronger style).
## Use on Replicate
```python
import replicate
output = replicate.run(
"prunaai/p-image-edit-lora:17651bd22e8c151cdb13a97b0f8554dce1e7238cd0a18cf90bc237ac5f0bc067",
input={
"images": ["https://example.com/input.png"],
"prompt": "transform into anime your edit instruction",
"lora_weights": "https://huggingface.co/davidberenstein1957/p-image-edit-photo-to-anime-lora/resolve/main/weights.safetensors",
"lora_scale": 1.0,
"hf_api_token": "your-hf-token",
}
)
```
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