Image-to-Image
Diffusers
Safetensors
Core ML
StableDiffusionInpaintPipeline
clover-image
inpainting
stable-diffusion
Instructions to use neonforestmist/Clover-Image-Tiny-Inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neonforestmist/Clover-Image-Tiny-Inpaint 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("neonforestmist/Clover-Image-Tiny-Inpaint", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" 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
| { | |
| "completed_steps": 500, | |
| "final_loss": 0.11363611370325089, | |
| "final_teacher_loss": 0.05577564239501953, | |
| "final_ground_truth_loss": 0.28721752762794495 | |
| } | |