Cute Comic 800

🚀 cute-comic-800

This is a model trained with AI Toolkit by Ostris, capable of generating images in a specific style.

🚀 Quick Start

Trigger words

You should use in the style of TOK to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/cute-comic-800', weight_name='cute-comic-800.safetensors')
image = pipeline('a girl sitting under a tree in the style of TOK').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

📄 License

This model is licensed under apache-2.0.

📦 Model Information

💻 Usage Examples

Basic Usage

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/cute-comic-800', weight_name='cute-comic-800.safetensors')
image = pipeline('a girl sitting under a tree in the style of TOK').images[0]
image.save("my_image.png")

Advanced Usage

# For more complex usage scenarios, such as adjusting parameters for better image quality or generating multiple images at once, you can refer to the official diffusers documentation.
# Here is just a simple example of generating multiple images.
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/cute-comic-800', weight_name='cute-comic-800.safetensors')
prompts = ['a girl sitting under a tree in the style of TOK', 'a boy playing football in the style of TOK']
images = pipeline(prompts).images
for i, image in enumerate(images):
    image.save(f"image_{i}.png")