anithing_v20.safetensors

5.28 GB · SafeTensor · fp16 · full

vae-ft-mse-840000-ema-pruned_fp16.safetensors

160 MB · SafeTensor

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<anithing2>

!!! UPLOADING/SHARING MY MODELS OUTSIDE CIVITAI IS STRICLY PROHIBITED* !!! Check my EXCLUSIVE models on : • • • • SDXL - Pony: • • • • SD1.5: • • • • • Also in Collaboration with This model is free for personal use and free for personal merging(*). For commercial use, please be sure to (Ko-fi) or by email: samuele[dot]bonzio[at]gmail[dot]com ⬇Read the info below to get the high quality images (click on show more)⬇ AniThing - are you brave enough? I'm sorry, even I, who am the author, have not been able to grasp all the possibilities of this model. Therefore, equip yourself with your best prompts and get there, where no one has gone before. - AniThing can be (if you want) ULTRAFAST (like LCM models), you can have great detailed result using a CFG scale of 2~3, with ONLY: 10 Steps and Scheduler: Euler or Euler A () - One last thing, AniThing tends to be slightly uninhibited. So be careful with your negative prompts if you don't want to produce NSFW images -> If you are satisfied using my model, press on ❤️ to follow the progress and consider leaving me ⭐⭐⭐⭐⭐ on model review, it's really important to me! Thank you in advance 🙇 And remember to publish your creations using this model! I’d really love to see what your imagination can do! Recommended Settings: - Excessive negative prompt can makes your creations worse, so follow my suggestions below! - Before applying a LoRA to produce your favorite character, try it without first. You might be surprised what this model can do! A1111 my settings: I run my Home PC A1111 with this setting: - set COMMANDLINE_ARGS= --xformers if you can't install xFormers (read below) use my Google Colab Setting: - set COMMANDLINE_ARGS= --disable-model-loading-ram-optimization --opt-sdp-no-mem-attention My A1111 Version:  •  python: 3.10.6  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2 If you want activate xformers optimization like my Home PC (): - In A1111 click in "Setting Tab" - In the left coloumn, click in "Optimization" - in: "Cross attention optimization" select: "xformers" - Press in "Apply Settings" - Reboot your Stable Diffusion If you can't install xFormers use SDP-ATTENTION, like my Google Colab: - In A1111 click in "Setting Tab" - In the left coloumn, click in "Optimization" - in: "Cross attention optimization" select: "sdp-no-mem - scaled dot product without memory efficient attention" - Press in "Apply Settings" - Reboot your Stable Diffusion How to emulate the nvidia GPU follow this steps: - In A1111 click in "Setting Tab" - In the left coloumn, click in "Show all pages" - Search "Random number generator source" - Select the voice: "NV" - Press in "Apply Settings" - Reboot your Stable Diffusion If you use my models, install the extension for your A1111. Navigate to the "Extensions" tab within Stable Diffusion. - Go to the "Install from URL" subsection. - Paste the following URL: - Click on the "Install" button to install the extension - Reboot your Stable Diffusion How to install Euler Smea Dyn and Euler Max Sampler: - In A1111 click in "Extensions Tab" - click in "Install from URL" - Under "URL for extension's git repository" put this link: - Once installed click in: "Installed" Tab - Click in "Apply and quit" - Reboot your Stable Diffusion - Now at the end of the list of the sampler, you have the new sampler. How to use ADetailer with Euler Smea Dyn and Euler Max Sampler: - In A1111 click in "txt2img" tab - Expand and click in "enable ADetailer" - Scroll down and expand "inpaint" section - Click and turn on "Use separate Sampler" - Now select: "DPM++ 2M Karras" (or your favourite sampler) - VAE: VAE is included (but usually I still use the) - Clip skip: 2 or 3 - Upscaler:  or NORMAL GENERATION SPOT that I found is: - Sampling method: Restart - CFG 7 -> Steps 25 - Width: 576 (or 768) - Height: 1024 or: - Sampling method: DPM++ 2M SDE Karras - CFG 5 -> Steps 20 - Width: 576 (or 768) - Height: 1024 or: - Sampling method: Euler A - CFG 5 -> Steps 20 - Width: 576 (or 768) - Height: 1024 SUPERFAST GENERATION SPOT that I found is: - Sampling method: Euler (or Euler a) - CFG 2~3.5 -> Steps 10~15 - Width: 576 (o 768) - Height: 1024 IN GENERAL FOLLOW THIS ADVICE: As the CFG scale are raised, the steps must be raised. This is a kind of guideline: CFG scale: 2~3 -> Steps: 10~15 CFG scale: 3~4 -> Steps: 15~20 CFG Scale: 4~5 -> Steps: 20~25 CFG Scale: 5~6 -> Steps: 25~30 CFG Scale: 6~7 -> Steps: 30~35 I didn't go any further, but it could (I say this theoretically) also work beyond 7, always increasing the steps step by step As for the prompts... it's hard to help you here either. They change based on what you want to do, whether realism, anime, cgi and so on. I recommend you download an image from the main gallery and insert it into the PNG info tab to get the prompt used. I also leave you, downloadable from , my file with all the prompts I used. Just overwrite (if it is empty) the one in your Stable Diffusion folder (A1111) MY FAVORITE PROMPT: - Realistim Prompt: (masterpiece, best quality, highres:1.2), (photorealistic:1.2), (film grain:1.3), (morbid light:1.2), (dynamic angle), raw photo, ->YOUR PROMPTYOUR PROMPTYOUR PROMPTYOUR PROMPTYOUR PROMPT - Paint the face (only the face, neck, ears...) and after that set: - Inpaint masked - Only masked - Only masked padding, pixels: 12 - Sampling steps: 50 - Set: Only masked - Batch Size: 8 in the Positive Prompt write: (ultra realistic, best quality, masterpiece, perfect face) - Than click on GENERATE ControlNet & Prompt guide video tutorial: Thanx to: - (follow him in youtube) Do you like my work? If you want you can help me to buy a new PC for Stable Diffusion! ❤️ ❤️ This is the list of hardware if you are courius:  I must thank you and  for their video tutorials! (I'd really love to see a your video using my model ❤️ ) You are solely responsible for any legal liability resulting from u

SHA256

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ID Model ModelTrends.ai

#2914

Sampler

Euler_Max

Langkah

30

Guidance

3.5

Seed

1618295833

Saiz

512x912

Clip skip

2

Sampler

DPM++ 2M SDE

Langkah

65

Guidance

7

Seed

2956020025

Saiz

512x800

Clip skip

2

Sampler

DPM++ 2M SDE

Langkah

65

Guidance

7

Seed

3672524563

Saiz

512x800

Clip skip

2

Sampler

DPM++ 2M

Langkah

25

Guidance

6

Seed

822930279

Saiz

768x768

Sampler

DPM++ 2M SDE

Langkah

65

Guidance

7

Seed

2593025587

Saiz

512x800

Clip skip

2

Sampler

DPM++ 2M SDE

Langkah

65

Guidance

7

Seed

2358010015

Saiz

512x800

Clip skip

2

Sampler

DPM++ 2M SDE

Langkah

65

Guidance

7

Seed

486121695

Saiz

512x800

Clip skip

2

Sampler

DPM++ 2M

Langkah

25

Guidance

6

Seed

578277919

Saiz

768x768