Instructions to use Vaelico/Wulver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vaelico/Wulver with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vaelico/Wulver", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 - Wulver v0.1 beta
Full fine-tune of Krea 2 Raw (12.8B DiT) β anthro & furry, with strong anime / kemono range
and true multi-character composition. Trained on 1.5M+ curated images with multi-format captions.
In Shetland folklore, the Wulver is a wolf-headed being that was never cruel β it fished the lochs and left its catch on the windowsills of those in need.
This is a v0.1 beta β expect rough edges. An aesthetic pass is in active development and updates will roll out as the base training matures.
What it does
- Anthro / furry as its home turf β species knowledge far beyond generalist models
- Anime & kemono styles β not the usual western-model anime approximation
- Multi-character scenes β characters interacting, not merged into one blob
- Best results with detailed descriptive prose β see prompting tips below
Files
| File | Size | Use |
|---|---|---|
Wulver_v0.1_fp8_e4m3fn.safetensors |
12.8 GB | ComfyUI β the one most people want |
Wulver_v0.1_int8_convrot.safetensors |
13.5 GB | forge-neo and other int8 runtimes |
Wulver_v0.1_bf16.safetensors |
25.6 GB | Full precision β merging, quantizing, training on top |
Wulver_workflow.json |
β | Drag-and-drop ComfyUI workflow |
GGUF quants (Q8_0, Q5_0, Q4_0) are on the Civitai page.
Settings
| Steps | 14 |
| CFG | 1.0 β 2.0 |
| Sampler / Scheduler | euler / simple |
| Resolution | 1024 native |
| CLIPLoader type | krea2 |
ComfyUI setup
Wulver_v0.1_fp8_e4m3fn.safetensorsβComfyUI/models/diffusion_models/- Text encoder
qwen3vl_4b_bf16.safetensorsfrom Comfy-Org/Krea-2 βmodels/text_encoders/ - VAE
qwen_image_vae.safetensorsfrom the same repo βmodels/vae/ - Drag
Wulver_workflow.jsoninto ComfyUI and hit queue.
Prompting tips
This model was trained on long natural-language captions, so detailed prose gets you the most out of it. Template that works:
A digital painting of [subject & species, appearance details]. [What they are doing, pose, expression]. [Clothing / body details]. The background features [setting, lighting, atmosphere]. [Artistic style / medium notes].
- 60β120 words is the sweet spot. Short prompts work, detail works better
- CFG 1.0 is the distilled default, but CFG above 1 works fine β 1.5 is a good everyday value, and negative prompts start taking effect from there up. Past 3 it deforms unless you add steps, which doesn't help much
- Copy the prompts from the Civitai sample gallery to see the dialect in action
Compatibility notes
Artist-name conditioning (
@artistname) is not functional in v0.1 β the model ignores the prefix. A proper artist mechanism is in development for v1LoRAs trained on base Krea 2 may behave differently on Wulver (weights have moved)
License
This is a modified version of the Krea 2 model by Krea.
Krea 2 is licensed under the Krea 2 Community License Agreement β
by using this model you agree to its terms (including the Acceptable Use Policy).
The full license text is included as LICENSE.md and the attribution notice as NOTICE in this repository.
Not affiliated with or endorsed by Krea.
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