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", torch_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
metadata
license: cc
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
thumbnail: https://huggingface.co/mirav/newmoon/resolve/main/examples/thumbnail.png
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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.
