Instructions to use hf-internal-testing/unidiffuser-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/unidiffuser-diffusers-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/unidiffuser-diffusers-test", 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
File size: 513 Bytes
f8da531 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"architectures": [
"CLIPVisionModelWithProjection"
],
"attention_dropout": 0.1,
"dropout": 0.1,
"hidden_act": "quick_gelu",
"hidden_size": 32,
"image_size": 32,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 37,
"layer_norm_eps": 1e-05,
"model_type": "clip_vision_model",
"num_attention_heads": 4,
"num_channels": 3,
"num_hidden_layers": 5,
"patch_size": 2,
"projection_dim": 32,
"torch_dtype": "float32",
"transformers_version": "4.26.1"
}
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