Instructions to use Noginowa/AnimaMixColorXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Noginowa/AnimaMixColorXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Noginowa/AnimaMixColorXL", 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
- Xet hash:
- 8496321eea235a3e920ca2bbda78a4b26108e8b3496fb61bf460d9ef143a6ec1
- Size of remote file:
- 6.94 GB
- SHA256:
- 219c00a29c5f4f5e669426f49925ab7fecb3376ec40f4375dd460d7b497bfd74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.