import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("graizelle/lustmix_anima_v1", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Graizelle's Lustmix Anima v1
Lustmix Anima | Silk - Glass - Ink
I separated the unet from each Graizelle's Lustmix checkpoint carefully merging each with Anima 1.0 base.
/examples Curated output samples /workflows ComfyUI workflows
Use Qwen text encoder | Qwen VAE same as Anima 1.0 base
Model Characteristics
| Attribute | Rating |
|---|---|
| Prompt Adherence | High |
| Character Consistency | High |
| Realism Bias | Medium-High |
| Anime Style Retention | Medium |
| Skin Detail | High |
| Lighting Detail | High |
| Composition Flexibility | High |
| CFG Sensitivity | Medium |
Recommended Settings
| Setting | Value |
|---|---|
| Sampler | euler, er_sde |
| Scheduler | Simple, Beta57 |
| Steps | 15–30 |
| CFG | 5–8 |
| Resolution | 832x1216 |
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Model tree for graizelle/lustmix_anima_v1
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima