HassanBlendV1.5 Inpainting is merged by using HassanBlendV1.5.12、and Stable diffusion 1.5 inpainting.
I merged it after the last model I shared started picking up traction. I started testing it out today. it's been working A lot better than SD1.5-inpainting, when it comes to realistic photos And lining up inpainting with the original Photo.
Most of the image examples are img2img using HBinpaint model. The Native Ameican woman portraits are inpainting examples.
I chose that picture to showcase inpainting due to how difficult it can be to remove baggy, wavy, or flowing fabric and clothing.
I Have been using the vae-ft-mse-840000-ema-pruned.ckpt file for my vae. This VAE normally produces higher images so I did not feel the need to try out the 560000 vae model.
I have not been able to try Embeddings and LoRAs.
I have noticed the same words as my last model merge aid in more realistic images.
Positive: high detail raw photo masterpiece of [Subject] in [Location/Setting] with/while [action], highly detailed, 4 k, hdr, smooth, sharp focus, high resolution, award - winning photo, detailed face, flawless face, perfect eyes, highly detailed, sharp focus, beautiful detailed face, beautiful detailed hands, 8k, (highly detailed), (photorealistic), vivid colors
Negative: High pass filter, airbrush, portrait, zoomed, soft light, smooth skin, closeup, Anime, fake, cartoon, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions, blind, bad eyes, ugly eyes, dead eyes, blur, vignette, out of shot, out of focus, gaussian, monochrome, grainy, noisy, text, writing, watermark, logo, oversaturation, over saturation, overshadow, blurred, hideous, crooked, broken, mangled, gore, horror, lowres, unreal, digital painting, blurry, ugly, ugly face, bad anatomy, out of focus, animated, fake, blurry.
Let me know how it worked for you! Share your good and bad images, ok
HassanBlendV1.5 Inpainting is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user ayeyedee. Derived from the powerful Stable Diffusion (SD 1.5) model, HassanBlendV1.5 Inpainting has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that HassanBlendV1.5 Inpainting is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as character, 3d, person.
With a rating of 3.67 and over 3 ratings, HassanBlendV1.5 Inpainting is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of HassanBlendV1.5 Inpainting from here.
To use HassanBlendV1.5 Inpainting, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like HassanBlendV1.5 Inpainting, check out our crash course in AI image generation.
Positive: high detail raw photo masterpiece of [Subject] in [Location/Setting] with/while [action], highly detailed, 4 k, hdr, smooth, sharp focus, high resolution, award - winning photo, detailed face, flawless face, perfect eyes, highly detailed, sharp focus, beautiful detailed face, beautiful detailed hands, 8k, (highly detailed), (photorealistic), vivid colors
Negative: High pass filter, airbrush, portrait, zoomed, soft light, smooth skin, closeup, Anime, fake, cartoon, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions, blind, bad eyes, ugly eyes, dead eyes, blur, vignette, out of shot, out of focus, gaussian, monochrome, grainy, noisy, text, writing, watermark, logo, oversaturation, over saturation, overshadow, blurred, hideous, crooked, broken, mangled, gore, horror, lowres, unreal, digital painting, blurry, ugly, ugly face, bad anatomy, out of focus, animated, fake, blurry.
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