Instructions to use CalamitousFelicitousness/Anima-1.0-Base-sdnext-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-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-1.0-Base-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] - Cosmos
How to use CalamitousFelicitousness/Anima-1.0-Base-sdnext-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:
- 99f0f58e896f32421057c5d652d4a332ae5a3638ee5b334053800ab27c2f9eb0
- Size of remote file:
- 3.91 GB
- SHA256:
- 0b31a85150464f5073c254074bbeb9df48646ec608b0452c5b0dcac079c975a4
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