HomoDiffusion 2 Fantasy is not meant to replace any of the previously uploaded models, it just more focused on RPG, fantasy, dark fantasy and D&D elements. It is exaggerated version of HomoDiffusion 2.

Merged in PrismaBoysMixV4 and SXZ Luma 0.99 with HomoDiffusion 2.0

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), 4k, best quality, masterpiece, real photos, cinematic lighting, realistic shadow, volumetric lighting, highest detail, ultra-detailed, professional photography, depth of field, bokeh, detailed face, subsurface scattering, realistic hair, realistic eyes, realistic hands, detailed, intricate, ????, muscular, male, (big pectorals), (shiny skin), (????? ?????), ????? peeking through cloths, (dynamic movement), (dynamic pose), photo of a man, casting magic, (magic in hand), (shooting magic from hand), facial hair, beard, (swirling magic), pants, shoulder armour, cape, intricate necklace, 

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:
????, muscular, male, (big pectorals), (shiny skin), (????? ?????), ????? peeking through cloths, (dynamic movement), (dynamic pose), photo of a man, casting magic, (magic in hand), shooting magic from hand, facial hair, beard, swirling magic, pants, shoulder armour, cape, intricate necklace, Realistic, photorealistic, 4k, best quality, masterpiece, real photos, cinematic lighting, realistic shadow, volumetric lighting, highest detail, ultra-detailed, professional photography, depth of field, bokeh, detailed face, subsurface scattering, realistic hair, realistic eyes, realistic hands, detailed, intricate, 

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.