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
- Draw Things
- DiffusionBee
File size: 499 Bytes
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"architectures": [
"Qwen3Model"
],
"model_type": "qwen3",
"vocab_size": 151936,
"hidden_size": 1024,
"intermediate_size": 3072,
"num_hidden_layers": 28,
"num_attention_heads": 16,
"num_key_value_heads": 8,
"head_dim": 128,
"hidden_act": "silu",
"max_position_embeddings": 32768,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"attention_bias": false,
"attention_dropout": 0.0,
"use_cache": false,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16"
} |