Instructions to use bumblebee-testing/tiny-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bumblebee-testing/tiny-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bumblebee-testing/tiny-stable-diffusion", torch_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: 1,007 Bytes
9c71719 | 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 30 31 32 33 34 35 36 37 38 39 40 | {
"_name_or_path": "hf-internal-testing/tiny-stable-diffusion-pipe-no-safety",
"architectures": [
"StableDiffusionSafetyChecker"
],
"initializer_factor": 1.0,
"logit_scale_init_value": 2.6592,
"model_type": "clip",
"projection_dim": 64,
"text_config": {
"attention_dropout": 0.1,
"bos_token_id": 0,
"dropout": 0.1,
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_size": 32,
"intermediate_size": 37,
"max_position_embeddings": 512,
"model_type": "clip_text_model",
"num_attention_heads": 4,
"num_hidden_layers": 5,
"vocab_size": 99
},
"torch_dtype": "float32",
"transformers_version": "4.35.0",
"vision_config": {
"attention_dropout": 0.1,
"dropout": 0.1,
"gradient_checkpointing": false,
"hidden_size": 32,
"image_size": 30,
"intermediate_size": 37,
"model_type": "clip_vision_model",
"num_attention_heads": 4,
"num_hidden_layers": 5,
"patch_size": 2
},
"vocab_size": 1000
}
|