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fooocus_inpainting_v2
chuckma/fooocus_inpainting_v2
fooocus_inpainting_v2 is a image-to-image model from chuckma. Use it when you need one image transformed into another. It is set up for diffusers.
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Repo size
6.9 GB
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2
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.safetensors6.9 GB · 100%
At a glance
- Task
- Image-to-Image
- Library
- diffusers
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- af401c80
Model card
From the Hugging Face model README
import torch
from diffusers import AutoPipelineForInpainting
from diffusers.utils import load_image, make_image_grid
pipeline = AutoPipelineForInpainting.from_pretrained(
"chuckma/fooocus_inpainting_v2", torch_dtype=torch.float16, variant="fp16"
)
pipeline.enable_model_cpu_offload()
# remove following line if xFormers is not installed or you have PyTorch 2.0 or higher installed
# pipeline.enable_xformers_memory_efficient_attention()
# load base and mask image
init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/inpaint.png")
mask_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/inpaint_mask.png")
generator = torch.Generator("cuda").manual_seed(92)
prompt = "concept art digital painting of an elven castle, inspired by lord of the rings, highly detailed, 8k"
image = pipeline(prompt=prompt, image=init_image, mask_image=mask_image, generator=generator).images[0]
make_image_grid([init_image, mask_image, image], rows=1, cols=3)
- Task
- Image-to-Image
- Library
- diffusers
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024