Homo Diffusion 2.0

Model is meant to be used to generate explicit male on male, homoerotic content but if prompted correctly it can produce decent gens from various spectrum of topics.

Recommended VAE:

vae-ft-mse-840000-ema-pruned

General Tips

Sentence or prompt structure matters in both SD Next and InvokeAI 3.0. They both handle them differently due to different pipelines, parser and underlining optimisations. Additionally depending on WebUI and it's version some of prompts will be restricted to 75 tokens, meaning anything above that count will be either completely ignored or just split up. Latest version of InvokeAI & SD.Next support up to 225 tokens.

For example:

If you structure your prompt the same way like in first example i.e description of quality, lighting condition, blurriness (Gaussian, Bokeh, depth of field, aperture, focus, ISO, DLSR or mirror-less make & model and so forth), resolution properties, different types of compression artefacts and by-products (i.e JPEG artefacts) and then the subject i.e muscular/skinny/lean male/man/men, facial& body features, clothing preferences, details regarding background you will end up with gens like the one below.

Prompt:
Realistic, photorealistic, 8k, cinematic, real photos, dynamic lighting, realistic shadow, volumetric lighting, bloom, highest detailed ultra-detailed, professional photography, Canon EOS 5D mark iv, depth of field, best quality, masterpiece, detailed, intricate, 4K, HDR, a blonde hair man with body hair wearing underwear laying in a bed with another brown haired man in underwear, passionately kissing, cosypunk bedroom, natural light potted plants, bookshelf, on the bed,

But if you restructure the whole sentence and first describe person/objects and background, then add all the other descriptors just like in example below:

Prompt:
a blonde hair man with body hair wearing underwear laying in a bed with another brown haired man in underwear, passionately kissing, cosypunk bedroom, natural light potted plants, bookshelf, on the bed, Realistic, photorealistic, 8k, cinematic, real photos, dynamic lighting, realistic shadow, volumetric lighting, bloom, highest detailed ultra-detailed, professional photography, Canon EOS 5D mark iv, depth of field, best quality, masterpiece, detailed, intricate, 4K, HDR, 

There's high chance you'll end up with something complete different second example:

Both examples were made in Invoke AI 3..0.0 using txt2img.

Recommended settings:

SD Next:

Step Count:

From 20 to 70

Samplers:

Euler A, DPM++ a Karras, DPM++ 2M/2S a Karras

Second Pass & Upscaler:

4x-UltraSharp with denoising strength between 0.1 to 0.3, 5 to 50 steps. For second pass sampler you can use combination of sampler mentioned above. Some of them will handle better adding details, textures, some might cause extra issues like double glands, elongated limbs, missing limbs or blurriness.

Refiner:

Since SD Next lets you mix&match not only samplers but refiner for SD 0.9 XL with SD 1.5 base models I do recommend to at least play with new refiners to increase fidelity of generations, get crispy details or to fix some issues.

aDetailer:

Face either mediapipe mesh/full or yolov8s,

Detection threshold varies from 0.3 to 0.45,

Steps count for aDetailer model 12-30,

Resolution for in-painting from 512x512 to 768x768 - it will slowdown generation significantly.

Resolution:

from 512px to 1024px with aspect ratio from 4:3, 3:4 or 16:9, 9:16.

InvokeAI 3.0

Step Count:

15-75

Samplers:

DPM++2M SDE Karras, DPM++2M Karras, DPM++2S, Euler Ancestral, Euler Karras, Huen, Heun Karras,

Upscaler:

RealESRGAN_x4plus

Resolution:

768px up to 1280px.

Portrait, Free or Wide.

Disclaimer:

Some of prompts are not mine. They're either found here, on CivitAI or taken from user of Unstable Discord #men-only channel.

Model, recommended resources, hint and description of each of my model may change over time with new LoRA/TI tested or/and with new versions of HD2.