Instructions to use CalamitousFelicitousness/Anima-sdnext-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Anima-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-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-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
File size: 475 Bytes
df9529d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"_class_name": "CosmosTransformer3DModel",
"_diffusers_version": "0.37.0",
"in_channels": 16,
"out_channels": 16,
"num_attention_heads": 16,
"attention_head_dim": 128,
"num_layers": 28,
"mlp_ratio": 4.0,
"text_embed_dim": 1024,
"adaln_lora_dim": 256,
"max_size": [
128,
240,
240
],
"patch_size": [
1,
2,
2
],
"rope_scale": [
1.0,
4.0,
4.0
],
"concat_padding_mask": true,
"extra_pos_embed_type": null
} |