Instructions to use Bl4ckSpaces/Project-Cosmos-V1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bl4ckSpaces/Project-Cosmos-V1.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bl4ckSpaces/Project-Cosmos-V1.2", 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
Project-Cosmos-V1.2 (EPSM Edition)
Project Cosmos V1.2 introduces Energy-Preserving Sparse Merge (EPSM). It retains the clean, noise-free anatomy of V1.1 but restores the "Style Volume" of NoobAI that was lost during filtration.
The V1.2 Upgrade
- Smart Boost (Output Blocks): In V1.1, filtering noise also reduced the overall intensity of the NoobAI style. In V1.2, we calculate the energy lost during filtering and scientifically boost the remaining clean signal to match the original intensity.
- Safety Clamp: Unlike the experimental V1.0, the boost is mathematically clamped (Max 3.5x) to prevent any possibility of artifact explosion.
- Anatomy Protection: Input and Middle blocks are NOT boosted. They remain in strict "Clean Mode" to ensure perfect fingers and poses.
Recommended Settings
- Sampler: Euler a / DPM++ 2M SDE
- CFG: 5.0 - 8.0 (Colors will be more vibrant than V1.1)
- Steps: 28+
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