Instructions to use TsienDragon/DreamOmni2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TsienDragon/DreamOmni2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DFloat11/FLUX.1-Kontext-dev-DF11", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TsienDragon/DreamOmni2") prompt = "control 1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamOmni2

- Prompt
- control 1

- Prompt
- control 2

- Prompt
- generate
Model description
diffusers format of DreamOmni2 edit lroa
Download model
Download them in the Files & versions tab.
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Model tree for TsienDragon/DreamOmni2
Base model
black-forest-labs/FLUX.1-Kontext-dev Quantized
DFloat11/FLUX.1-Kontext-dev-DF11

