coreml-community/coreml-Stable_Diffusion_PaperCut_Model

Core ML Converted Model

This model was converted to Core ML for use on Apple Silicon devices by following Apple's instructions here.
Provide the model to an app such as Mochi Diffusion to generate images.

split_einsum version is compatible with all compute unit options including Neural Engine.
original version is only compatible with CPU & GPU option.

🧩 Paper Cut model V1

This is the fine-tuned Stable Diffusion model trained on Paper Cut images.

Use PaperCut in your prompts.

Sample images:

Based on StableDiffusion 1.5 model

🧨 Diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.

You can also export the model to ONNX, MPS and/or FLAX/JAX.

from diffusers import StableDiffusionPipeline
import torch

model_id = "Fictiverse/Stable_Diffusion_PaperCut_Model"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "PaperCut R2-D2"
image = pipe(prompt).images[0]

image.save("./R2-D2.png")

✨ Community spotlight :

@PiyarSquare :