Read Description

Important: Having multiple models uploaded here on civitai has made it difficult for me to respond to each and every comment. One of the ways I plan on addressing this is via the creation of a pdf guide for each and every model (think of it as the models documentation). This will take a while though. So in the meantime, if you have any questions or feedback -

visit my thread of the Unstable Diffusion Discord

Like photorealism? Try my new fine-tune 'Lomostyle'

VAE Required

Download VAE - https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main

|──sd

|____|──stable-diffusion-webui

|____|____|──models

|____|____|____|──VAE

|____|____|____|____|──<Put your VAE file here>

Cine Diffusion - Fine tuned on cinematic stills and 35mm film.

Note: Description is limited atm. Full PDF documentation is in the works.

Have you heard of the high elves?
If you're attempting to generate an image of a elf and aren't seeing pointy ears:

• Set your CFG to 7+

• Make sure elf is closer towards the beginning of the prompt.

Warning - This model is a bit horny at times. I tried to alleviate this by fine tuning the text-encoder using the class nsfw and sfw. Although this solution is not perfect. More experimentation is needed. I've had most success with adding sfw or nsfw within the first 75 tokens of the prompt. Adding sfw or nsfw to the negative prompt can also help.

Settings

Clipskip : 1

ETA Noise Seed Delta : 31337

CFG : 6 - 8

Sampler recommendations :

• DPM++ SDE Karras, 18-40 steps

• Euler a, 20-32 steps

• DPM++ 2M Karras, 30 - 70 steps

• Heun, 20 -30 steps

• Euler, 20 - 70 steps, Sigma Churn = 1

These parameters are not strictly required, experiment around with other samplers and parameter values. You might find something that works better for you.

Textual Inversion (Negative) used in sample images :

• Bad_prompts_version2 - https://huggingface.co/datasets/Nerfgun3/bad_prompt/blob/main/bad_prompt_version2.pt

  • Install location - stable-diffusion-webui -> embeddings -> <place .pt embedding here>

Check out my other models

SDXL

• Boomer Art Model - https://civitai.com/models/163139/boomer-art-model-bam

• LomoXL - https://civitai.com/models/156743/lomoxl

SD1.5

• Doomer Boomer - https://civitai.com/models/118247?modelVersionId=128239

• Lomostyle - https://civitai.com/models/109923/lomostyle

• Based Model - https://civitai.com/models/83991?modelVersionId=89262

• Electric Eden - https://civitai.com/models/64355/electric-eden

• Project AIO - https://civitai.com/models/18428/project-aio

• Eris - https://civitai.com/models/21952/eris

• WonderMix - https://civitai.com/models/15666/wondermix

• Refined - https://civitai.com/models/8392/refined

• Experience - https://civitai.com/models/5952/experience

• Elegance - https://civitai.com/models/5564/elegance

• Clarity - https://civitai.com/models/5062/clarity

• VisionGen - Realism Reborn -https://civitai.com/models/4834/visiongen-realism

LoRA

• Pant Pull Down - https://civitai.com/models/11126/pant-pull-down-lora

描述:

Cine_Diffusion_v3

Baseline model consists of :

• base_2 (trained for anatomy)

• HDR1 (trained model for lighting/texture)

• Cine_Diffusion_v1 (First attempt at this model that was based on SD 1.5)

• Movie Diffusion - https://civitai.com/models/8067/movie-diffusion-v12

Training Data :

Most of the cinematic film stills were obtained via https://film-grab.com/

35mm stills were largely obtained via https://www.lomography.com/films

Extra training:

Text-encoder-only training for nsfw and sfw triggers.

More info + training logs and sample data will be available once the documentation is uploaded.

训练词语: