Instructions to use kandinskylab/tiny-kandinsky-s2v-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinskylab/tiny-kandinsky-s2v-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinskylab/tiny-kandinsky-s2v-modular-pipe", 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
Download text_encoder_2/config.json from kandinskylab/tiny-kandinsky-s2v-modular-pipe: direct link, hf CLI and curl.
- Browser
- Download file 529 Bytes
-
https://huggingface.co/kandinskylab/tiny-kandinsky-s2v-modular-pipe/resolve/main/text_encoder_2/config.json
- Command line
-
hf download hf://kandinskylab/tiny-kandinsky-s2v-modular-pipe/text_encoder_2/config.json
-
curl -L -o config.json https://huggingface.co/kandinskylab/tiny-kandinsky-s2v-modular-pipe/resolve/main/text_encoder_2/config.json
529 Bytes
| { | |
| "architectures": [ | |
| "CLIPTextModel" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "quick_gelu", | |
| "hidden_size": 16, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 16, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 77, | |
| "model_type": "clip_text_model", | |
| "num_attention_heads": 2, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 1, | |
| "projection_dim": 16, | |
| "transformers_version": "5.17.0", | |
| "vocab_size": 1000 | |
| } | |