Instructions to use colt12/maxcushion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use colt12/maxcushion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("colt12/maxcushion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 381 Bytes
63b51ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_name_or_path": "laion/clap-htsat-fused",
"architectures": ["CLIPTextModelWithProjection"],
"hidden_act": "gelu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"model_type": "clip",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"projection_dim": 1280,
"vocab_size": 49408
} |