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Raxephion/Krea2-Soliloquy-V2
Krea2-Soliloquy-V2 is a text-to-image model from Raxephion. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
[](https://civitai.com/models/2828097/soliloquy)
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From the Hugging Face model README
Soliloquy is a custom Krea 2 checkpoint created from a LoRA trained entirely on my own photography from my former studio, then permanently integrated into a carefully selected base model.
It is not a conventional full-parameter finetune, but it is also more than a simple checkpoint merge.
Soliloquy is intended for cinematic portraiture, atmospheric environments, visual storytelling, and surreal concepts that still feel as though they were captured through a real camera.
V1 established Soliloquy's visual identity: dramatic photographic rendering, strong atmosphere, rich texture, and a distinct cinematic character. However, V1 also retained more of the underlying base model's original biases than intended, alongside a tendency toward overly aggressive contrast in some generations.
V2 was built specifically to address both. It keeps the photographic identity that made V1 what it was, while pushing Soliloquy further toward its own visual character and giving the model a more controlled, coherent response.
Shadows and highlights are better controlled, with less tendency toward crushed blacks, overly harsh transitions, or pushed highlights.
V2 has been refined to rely less heavily on some of the visual tendencies inherited from its underlying base, allowing Soliloquy's own photographic character to come through more consistently.
V2 is more selective about where detail belongs, producing cleaner and more photographic-looking images rather than pushing microcontrast everywhere equally.
Skin, fabric, metal, environmental surfaces, and fine textures feel more differentiated and naturally resolved.
Subjects, environments, motion, and background elements relate to each other more convincingly, especially in complex scenes.
V2 handles dramatic lighting with more discipline, preserving mood and atmosphere while feeling less processed overall.
Dynamic scenes retain their energy, but the intensity is better organized and easier to read.
In short, V2 does not reduce Soliloquy's drama — it gives that drama more control, more realism, and more room to breathe.
| Variant | Description | Loading |
|---|---|---|
| FP8 | Original quantized checkpoint | Standard ComfyUI fp8 loading |
| BF16 | Full-precision reconstruction | Load Diffusion Model node, weight_dtype: default — no extra nodes required |
| INT8 ConvRot | ~Half file size, INT8 weights with Hadamard rotation to reduce quality loss vs. plain INT8 | Requires ConvRot-compatible loader |
Soliloquy tends toward:
The model is not limited to a single genre. It can move between portraiture, fantasy, fashion, landscapes, science fiction, and surreal imagery while retaining a consistent photographic eye.
The LoRA used to create Soliloquy was trained exclusively on organic photographic data.
No synthetic or AI-generated images were used in the training dataset. Every image originated from my own photography, and every caption and tag was written by hand rather than generated through automated captioning.
V1 should be understood as the foundation of Soliloquy's public identity.
It introduced the model's mood, contrast, atmosphere, texture, and photographic instinct, but it also retained a noticeable amount of the underlying base model's own visual biases. V1 could sometimes lean too heavily into strong contrast, aggressive microdetail, and other inherited tendencies rather than allowing Soliloquy's own photographic character to dominate the image.
V2 refines that foundation rather than replacing it. The goal was not to turn Soliloquy into something fundamentally different, but to separate its own identity more clearly from the base beneath it.
V2 aims for:
If V1 established the look, V2 is the version that lets it breathe.
Soliloquy responds well to descriptive natural-language prompts, especially when the prompt includes:
You generally do not need to overload prompts with long quality-tag strings. A clear scene, a strong visual intention, and a few carefully chosen photographic details tend to work best.
V2 in particular benefits from prompts that give it room to organize light, space, subject emphasis, environmental context, and texture. That is where the refinement over V1 tends to show most clearly.
Soliloquy is fully NSFW capable.
This is not a censored or SFW-only checkpoint, and V2 does not attempt to remove or suppress the broader generation capabilities of the underlying model.
There is, however, an important distinction between NSFW capability and unprompted NSFW behavior.
The underlying base model has a fairly aggressive NSFW bias and can sometimes introduce nudity even when it was not explicitly requested — particularly when prompts contain bodies, minimal clothing, bathing, lingerie, fantasy attire, or ambiguous wardrobe descriptions.
V1 inherited much of this behavior directly from the base. V2 attempts to reduce that inherited tendency toward unsolicited nudity while retaining full NSFW capability when it is actually requested.
This does not mean that unprompted nudity has been eliminated entirely. Users seeking strictly safe-for-work generations should still describe clothing clearly and use appropriate negative prompting or workflow-level safeguards.
The name Soliloquy refers to the act of speaking one's thoughts aloud.
This model is, in a sense, a continuation of that idea: old photographs, visual instincts, and memories from a former studio translated into a new generative medium.
It is not an attempt to reproduce one fixed style. It is an attempt to preserve a way of seeing.