Instructions to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CalamitousFelicitousness/Anima-Preview-2-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] - Diffusion Single File
How to use CalamitousFelicitousness/Anima-Preview-2-sdnext-diffusers with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a177b30b6b1a6f986d18abd46e2b1344cf0f751e2f6af385f8a06bd24a0bd5e8
- Size of remote file:
- 1.19 GB
- SHA256:
- d10aa56a4da8a95d954d99228d9e20e27f96ac5fc8aa41b89a41532b16bb4817
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