Instructions to use CalamitousFelicitousness/Anima-Preview-3-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-Preview-3-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-3-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-Preview-3-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
- Draw Things
- DiffusionBee
File size: 243 Bytes
1352a0f | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "AnimaLLMAdapter",
"_diffusers_version": "0.37.0",
"source_dim": 1024,
"target_dim": 1024,
"model_dim": 1024,
"num_layers": 6,
"num_heads": 16,
"mlp_ratio": 4.0,
"vocab_size": 32128,
"use_self_attn": true
} |