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
Download text_encoder_2/config.json from colt12/maxcushion: direct link, hf CLI and curl.
- Browser
- Download file 381 Bytes
-
https://huggingface.co/colt12/maxcushion/resolve/main/text_encoder_2/config.json
- Command line
-
hf download hf://colt12/maxcushion/text_encoder_2/config.json
-
curl -L -o config.json https://huggingface.co/colt12/maxcushion/resolve/main/text_encoder_2/config.json
381 Bytes
| { | |
| "_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 | |
| } |