Image-to-Image
Diffusers
Safetensors
Core ML
StableDiffusionInpaintPipeline
image-editing
local-ai
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 AutoPipelineForInpainting from diffusers.utils import load_image # switch to "mps" for apple devices pipe = AutoPipelineForInpainting.from_pretrained("neonforestmist/Clover-Image-Tiny-Inpaint", dtype=torch.float16, device_map="cuda") img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" image = load_image(img_url).resize((1024, 1024)) mask_image = load_image(mask_url).resize((1024, 1024)) prompt = "a tiger sitting on a park bench" generator = torch.Generator(device="cuda").manual_seed(0) image = pipe( prompt=prompt, image=image, mask_image=mask_image, guidance_scale=8.0, num_inference_steps=20, # steps between 15 and 30 work well for us strength=0.99, # make sure to use `strength` below 1.0 generator=generator, ).images[0] - Notebooks
- Google Colab
- Kaggle
Download training-complete.json from neonforestmist/Clover-Image-Tiny-Inpaint: direct link, hf CLI and curl.
- Browser
- Download file 161 Bytes
-
https://huggingface.co/neonforestmist/Clover-Image-Tiny-Inpaint/resolve/main/training-complete.json
- Command line
-
hf download hf://neonforestmist/Clover-Image-Tiny-Inpaint/training-complete.json
-
curl -L -o training-complete.json https://huggingface.co/neonforestmist/Clover-Image-Tiny-Inpaint/resolve/main/training-complete.json
161 Bytes
| { | |
| "completed_steps": 500, | |
| "final_loss": 0.11363611370325089, | |
| "final_teacher_loss": 0.05577564239501953, | |
| "final_ground_truth_loss": 0.28721752762794495 | |
| } | |