Instructions to use Jayahari/itz-me-bruh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jayahari/itz-me-bruh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jayahari/itz-me-bruh", 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
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Download README.md from Jayahari/itz-me-bruh: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
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https://huggingface.co/Jayahari/itz-me-bruh/resolve/main/README.md
- Command line
-
hf download hf://Jayahari/itz-me-bruh/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Jayahari/itz-me-bruh/resolve/main/README.md
184 Bytes
metadata
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
ITZ-ME-BRUH! Dreambooth model
Building my own AI Avatar using stable diffusion and dream booth.