Instructions to use bghira/zlab-i1-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/zlab-i1-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bghira/zlab-i1-diffusers", 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
| license: other | |
| library_name: diffusers | |
| tags: | |
| - simpletuner | |
| - diffusers | |
| - zlab-i1 | |
| - text-to-image | |
| # ZLAB i1 Diffusers Transformer | |
| Diffusers-style conversion of `zlab-princeton/i1-3B` for SimpleTuner. | |
| This repository stores the i1 transformer under `transformer/` as safetensors. SimpleTuner loads the FLUX.2 VAE from `black-forest-labs/FLUX.2-dev` and the text encoder/tokenizer from `google/t5gemma-2b-2b-ul2-it`. | |