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Vetehine ┃ Dreamland ILL & ANM

Early Access

Updated: Sep 1, 2026

base model

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1 variant available

bf16 SafeTensor

dreamland 01 anm.safetensors

BF16, good balance • 4.13 GB

Verified:

Type
Checkpoint Merge
Stats

12

7

Generation License Fee

1 / 1 image

Reviews
Published

Sep 1, 2026

Base Model

Anima

Hash
AutoV2
9BEDB19B71
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Reactions - 11968

12K

Likes - 4040

4K

Downloads - 44390

44.4K

License:

Anima

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

image (3).jpeg

Home of this model

moescape.ai is the primary home of this model and a broader collection of additional models. Many of these releases are exclusive to this platform and are not available elsewhere.
More information and related work can be found on my homepage: Ozia.

Creator: Vetehine

Discord: Vetehine

Linktree: https://linktr.ee/Vetehine


Rather than being a standalone generator, Dreamland ILL functions as a quality enhancer a blend layer that injects refined lighting, dreamy glow, high-accuracy shading, and a signature “fantasy sparkle” into any style it’s merged with.

This model focuses on clean gradients, bright bokeh particles, soft radiance, and atmospheric depth, giving merged checkpoints a more premium, magical, and luminous finish.

It adds personality through light performance, not character bias—making it perfect for artists who want to keep their own model identity but raise visual quality.


ANIMA


Recommended settings:

CFG: 4–6

Steps: 30–50

Resolution range: 512–1536


Recommended samplers:

  • er_sde

  • euler_a

  • dpmpp_2m_sde_gpu


er_sde tends to produce cleaner anime-style linework and flatter color control.

euler_a often gives softer lines and a more painterly/2.5D feel.

dpmpp_2m_sde_gpu can create more experimental and creative outputs depending on prompting.


The model responds well to both tag-based prompting and natural language prompting, including mixed prompt structures.

Recommended prompt structure:

[quality/meta tags] → [subject] → [character/series] → [artist/style] → [general details] → [lighting/composition]

Example:

masterpiece, best quality, newest, safe, 1girl, original character, @artistname, white hair, black dress, glowing eyes, cinematic lighting, red moon, wind, night, detailed background


Natural language prompting also works very well:

A pale anime girl with long white hair standing under a crimson moon at night. Cinematic lighting, dark atmosphere, glowing red eyes, wind blowing through her hair, highly detailed illustration.


Mixed prompting:

masterpiece, best quality, newest, 1girl, white hair, black dress, glowing eyes.

A dark fantasy anime scene with cinematic lighting and red atmospheric fog.


Recommended quality/meta tags:

* masterpiece

* best quality

* newest

* highres

* absurdres

* safe / sensitive / nsfw / explicit


Recommended composition and atmosphere tags:

* cinematic lighting

* rim lighting

* depth of field

* dramatic angle

* dutch angle

* off center

* dynamic pose

* wind

* glowing

* blurry background

* bokeh

* atmospheric

* dramatic shadows


Artist prompting:

Artist tags generally work better using:

@artistname


Prompt weighting is supported, though stronger weights may work better than standard SDXL-style prompting.

Example:

(chibi:2)

(red eyes:1.8)


Time period tags

Specific year

year 2025, year 2024, ...


Period

newest, recent, mid, early, old


Meta tags

highres, absurdres, anime screenshot, jpeg artifacts, official art, etc


Safety tags

safe, sensitive, nsfw, explicit


The model generally performs better with:

* clean prompts

* focused styles

* clear character descriptions

* strong lighting descriptions

* balanced atmosphere tags


Illustrious


Recommended Settings -

Clip Skip - 2

DPM++ 2M Karras / Euler Ancestral / Restart

Sampling Steps - 25-66

Cfg - 6-7


Hires-

R-ESRGAN 4x+ Anime6B, 4x-AnimeSharp

Steps 10 - 20

Denoising 0.2 - 0.3


Overloading prompts with excessive conflicting tags can reduce consistency. Simpler prompts often produce cleaner results.


Legal & Usage Disclaimer

By accessing, using, generating with, or merging this model, you agree to these terms in full, regardless of whether you have read or acknowledged this notice.

This model is provided “as is,” without any warranties, express or implied, including but not limited to fitness for a particular purpose, legality of outputs, or compliance with platform policies.

Under no circumstances shall the author be held liable for any direct, indirect, incidental, consequential, special, or exemplary damages arising from or related to the use, misuse, or inability to use this model. This includes, without limitation, any content generated, modified, merged, distributed, or otherwise produced through the model, as well as any loss of data, loss of profits, reputational harm, legal claims, or third-party disputes resulting from such use.

This limitation of liability applies to all uses of the model, including but not limited to merging, fine-tuning, redistribution, or integration into other works or systems.

You are solely responsible for ensuring that your use complies with all applicable laws, regulations, and platform guidelines.

This disclaimer applies to all Vetehine models and LoRAs, whether or not this notice is explicitly included with a specific model or release.