| | --- |
| | language: |
| | - en |
| | license: creativeml-openrail-m |
| | tags: |
| | - stable-diffusion |
| | - stable-diffusion-diffusers |
| | - inpainting |
| | - art |
| | - artistic |
| | - diffusers |
| | - anime |
| | - absolute-realism |
| | --- |
| | |
| | # Absolute realism 1.6525 inpainting |
| |
|
| | `lykon-absolute-realism/absolute-realism-1.6525-inpainting` is a Stable Diffusion Inpainting model that has been fine-tuned on [runwayml/stable-diffusion-inpainting](https://huggingface.co/runwayml/stable-diffusion-inpainting). |
| |
|
| | Please consider supporting me: |
| | - on [Patreon](https://www.patreon.com/Lykon275) |
| | - or [buy me a coffee](https://snipfeed.co/lykon) |
| |
|
| | ## Diffusers |
| |
|
| | For more general information on how to run inpainting models with 🧨 Diffusers, see [the docs](https://huggingface.co/docs/diffusers/using-diffusers/inpaint). |
| |
|
| | 1. Installation |
| |
|
| | ``` |
| | pip install diffusers transformers accelerate |
| | ``` |
| |
|
| | 2. Run |
| | ```py |
| | from diffusers import AutoPipelineForInpainting, DEISMultistepScheduler |
| | import torch |
| | from diffusers.utils import load_image |
| | |
| | pipe = AutoPipelineForInpainting.from_pretrained('lykon-absolute-realism/absolute-realism-1.6525-inpainting', torch_dtype=torch.float16, variant="fp16") |
| | pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config) |
| | pipe = pipe.to("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) |
| | mask_image = load_image(mask_url) |
| | |
| | |
| | prompt = "a majestic tiger sitting on a park bench" |
| | |
| | generator = torch.manual_seed(33) |
| | image = pipe(prompt, image=image, mask_image=mask_image, generator=generator, num_inference_steps=25).images[0] |
| | image.save("./image.png") |
| | ``` |
| |
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| |  |
| |
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