Instructions to use hf-internal-testing/tiny-krea2-turbo-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-krea2-turbo-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("hf-internal-testing/tiny-krea2-turbo-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 tokenizer/tokenizer.json from hf-internal-testing/tiny-krea2-turbo-modular-pipe: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hf-internal-testing/tiny-krea2-turbo-modular-pipe/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-krea2-turbo-modular-pipe/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-krea2-turbo-modular-pipe/resolve/main/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- 55ebe81465ae64270c7e42ce7b55fda363af3134461d020ea04a5ee42a2648e9
- Size of remote file:
- 11.4 MB
- SHA256:
- 312c03cb421e18f41c20c3e35f3302479a3a8f8b1f06779fd900326a0d32c22f
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