Instructions to use mirav/newmoon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mirav/newmoon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mirav/newmoon", 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
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("mirav/newmoon", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]If you like my work, consider supporting me.
NewMoon: Soft, bright colors.
ChamomileTea: Darker, moodier colors.
TestMoon: Alternate style. Very cute, but a bit flawed.
NewMoonTest2A: Alternate style. Soft, flat, and cute, but harder to work with.
newmoon.yaml: sample prompt for animatediff
NewMoon_clip_l.safetensors: Extracted CLIP for advanced model merging.

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