Instructions to use Mi6paulino/Dreamforce2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Mi6paulino/Dreamforce2 with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Diffusers
How to use Mi6paulino/Dreamforce2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/Flex.1-alpha", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mi6paulino/Dreamforce2") prompt = "Michael Paulino " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download images/IMG_2717.jpeg from Mi6paulino/Dreamforce2: direct link, hf CLI and curl.
- Browser
- Download file 400 kB
-
https://huggingface.co/Mi6paulino/Dreamforce2/resolve/main/images/IMG_2717.jpeg
- Command line
-
hf download hf://Mi6paulino/Dreamforce2/images/IMG_2717.jpeg
-
curl -L -o IMG_2717.jpeg https://huggingface.co/Mi6paulino/Dreamforce2/resolve/main/images/IMG_2717.jpeg
400 kB

- Xet hash:
- cf9352d9a2d90326ec491f4141e111755f0862e6af96d2a718a082e2a9dde7a1
- Size of remote file:
- 400 kB
- SHA256:
- 2df420e2c79fa884c4efb928afce535e1c7e5cee930e0dea4daa07dbd3e5a389
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