Instructions to use CalamitousFelicitousness/Anima-1.0-Base-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-1.0-Base-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-1.0-Base-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Cosmos
How to use CalamitousFelicitousness/Anima-1.0-Base-Diffusers with Cosmos:
# 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 577d99751fccd9e0be960fe83a39bf99cee98b6fc2634af87f706a67fce9fd23
- Size of remote file:
- 269 MB
- SHA256:
- c7e5f2057e79278bcbaefaa995b3fde20ce7fddaaefc50a774f9462e832f4b2c
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