Instructions to use brunneis/doggoart2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brunneis/doggoart2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("brunneis/doggoart2", 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
Commit History
Upload model_index.json with huggingface_hub da7688d
Upload vae with huggingface_hub f0b75a9
Upload unet with huggingface_hub 596caee
Upload tokenizer with huggingface_hub 02d6ed3
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Upload the concept doggoart2 embeds and token f880248
initial commit bc3ff28
Rodrigo Martínez-Castaño commited on