Instructions to use EQX55/utmodels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EQX55/utmodels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EQX55/utmodels", 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 ZIT/tokenizer/tokenizer.json from EQX55/utmodels: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/EQX55/utmodels/resolve/main/ZIT/tokenizer/tokenizer.json
- Command line
-
hf download hf://EQX55/utmodels/ZIT/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/EQX55/utmodels/resolve/main/ZIT/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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