Instructions to use lucascheist/zerfito2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucascheist/zerfito2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lucascheist/zerfito2", 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 sample_images with huggingface_hub
5d61952 -
Upload model_index.json with huggingface_hub
809e0f0 -
Upload vae with huggingface_hub
e9fe42f -
Upload unet with huggingface_hub
ec08111 -
Upload tokenizer with huggingface_hub
850f989 -
Upload text_encoder with huggingface_hub
b24f51a -
Upload scheduler with huggingface_hub
5386e32 -
Upload feature_extractor with huggingface_hub
80c8643 -
Upload the concept zerfito2 embeds and token
ba4d0f1 -
initial commit
4fd847c