import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CalamitousFelicitousness/Anima-1.0-Base-sdnext-diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Anima 1.0 Base (SD.Next Diffusers Conversion)
Diffusers-format conversion of Anima 1.0 Base for use with SD.Next.
Original model: circlestone-labs/Anima (split_files/diffusion_models/anima-base-v1.0.safetensors)
Architecture
- Transformer: CosmosTransformer3DModel (2B params, 28 layers)
- Text Encoder: Qwen3-0.6B (replacing Cosmos T5-11B)
- LLM Adapter: Custom cross-attention adapter bridging Qwen3 to the transformer
- VAE: AutoencoderKLWan
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Base model
circlestone-labs/Anima