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Dreamshaper 6 Inpainting

lykon-models/dreamshaper-6-inpainting is a Stable Diffusion Inpainting model that has been fine-tuned on runwayml/stable-diffusion-inpainting.

Fuentehuggingface.co/Lykon/dreamshaper-6-inpainting/tree/a7f641cc12ff1d6572ad25653a9432de37fdc41a
TipoOtherVersiónRevision a7f641cBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
160 MB–3,20 GB
Versión
vRevision a7f641c
Actualizado
26 oct 2026
Descargas
12
Fuente
Hugging Face

Descripción de la fuente

Dreamshaper 6 inpainting

lykon-models/dreamshaper-6-inpainting is a Stable Diffusion Inpainting model that has been fine-tuned on runwayml/stable-diffusion-inpainting.

Please consider supporting me:

Diffusers

For more general information on how to run inpainting models with 🧨 Diffusers, see the docs.

  1. Installation
pip install diffusers transformers accelerate
  1. Run
from diffusers import AutoPipelineForInpainting, DEISMultistepScheduler
import torch
from diffusers.utils import load_image

pipe = AutoPipelineForInpainting.from_pretrained('lykon-models/dreamshaper-6-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")

Notes

  • Version 8 focuses on improving what V7 started. Might be harder to do photorealism compared to realism focused models, as it might be hard to do anime compared to anime focused models, but it can do both pretty well if you're skilled enough. Check the examples!
  • Version 7 improves lora support, NSFW and realism. If you're interested in "absolute" realism, try AbsoluteReality.
  • Version 6 adds more lora support and more style in general. It should also be better at generating directly at 1024 height (but be careful with it). 6.x are all improvements.
  • Version 5 is the best at photorealism and has noise offset.
  • Version 4 is much better with anime (can do them with no LoRA) and booru tags. It might be harder to control if you're used to caption style, so you might still want to use version 3.31. V4 is also better with eyes at lower resolutions. Overall is like a "fix" of V3 and shouldn't be too much different.

Fuentes

1 fuente
Hugging FacePrincipalVersión a7f641cc12ff1d6572ad25653a9432de37fdc41a
huggingface.co/Lykon/dreamshaper-6-inpainting/tree/a7f641cc12ff1d6572ad25653a9432de37fdc41a

Verificado 26 oct

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Artefactos del modelo

8 artefactos

safety_checker/model.fp16.safetensors

safetensors · 580 MB · SHA-256 57ecdfa243b1…84f6 · Hugging Face

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safety_checker/model.safetensors

safetensors · 1,13 GB · SHA-256 fb351a5ded81…fde8 · Hugging Face

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text_encoder/model.fp16.safetensors

safetensors · 235 MB · SHA-256 227ce32958d4…7bd9 · Hugging Face

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text_encoder/model.safetensors

safetensors · 469 MB · SHA-256 85cd01af667a…832f · Hugging Face

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unet/diffusion_pytorch_model.fp16.safetensors

safetensors · 1,60 GB · SHA-256 8488dec55cba…5724 · Hugging Face

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unet/diffusion_pytorch_model.safetensors

safetensors · 3,20 GB · SHA-256 4192427bd8d1…200f · Hugging Face

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vae/diffusion_pytorch_model.fp16.safetensors

safetensors · 160 MB · SHA-256 373b3f5f18a7…7d60 · Hugging Face

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vae/diffusion_pytorch_model.safetensors

safetensors · 319 MB · SHA-256 2ab67d20c0b8…cddc · Hugging Face

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Extractos de fuentes

3 extractos
Readme7 agohuggingface.co/Lykon/dreamshaper-6-inpainting

--- language: - en license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - inpainting - art - artistic - diffusers - anime - dreamshaper duplicated_from: lykon-models/dreamshaper-6-inpainting --- # Dreamshaper 6 inpainting `lykon-models/dreamshaper-6-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-models/dreamshaper-6-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") ``` ![](./image.png) ## Notes - **Version 8** focuses on improving what V7 started. Might be harder to do photorealism compared to realism focused models, as it might be hard to do anime compared to anime focused models, but it can do both pretty well if you're skilled enough. Check the examples! - **Version 7** improves lora support, NSFW and realism. If you're interested in "absolute" realism, try AbsoluteReality. - **Version 6** adds more lora support and more style in general. It should also be better at generating directly at 1024 height (but be careful with it). 6.x are all improvements. - **Version 5*...

Note26 octhuggingface.co/Lykon/dreamshaper-6-inpainting

Source context: 12 downloads · 1 likes · Pipeline image-to-image · Library diffusers · Repo Lykon/dreamshaper-6-inpainting

Note7 agohuggingface.co/Lykon/dreamshaper-6-inpainting

Source context: 16 downloads · 1 likes · Pipeline image-to-image · Library diffusers · Repo Lykon/dreamshaper-6-inpainting