Text-to-Image
Transformers
PyTorch
English
multi-model-orchestrator
ai
machine-learning
multimodal
image-captioning
orchestration
Instructions to use kunaliitkgp09/multi-model-orchestrator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kunaliitkgp09/multi-model-orchestrator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kunaliitkgp09/multi-model-orchestrator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
10.4 MB
Ctrl+K
- allegro
- amused
- animatediff
- audioldm
- audioldm2
- aura_flow
- blip_diffusion
- chroma
- cogvideo
- cogview3
- cogview4
- consisid
- consistency_models
- controlnet
- controlnet_hunyuandit
- controlnet_sd3
- controlnet_xs
- cosmos
- dance_diffusion
- ddim
- ddpm
- deepfloyd_if
- deprecated
- dit
- easyanimate
- flux
- hidream_image
- hunyuan_video
- hunyuandit
- i2vgen_xl
- kandinsky
- kandinsky2_2
- kandinsky3
- kolors
- latent_consistency_models
- latent_diffusion
- latte
- ledits_pp
- ltx
- lumina
- lumina2
- marigold
- mochi
- musicldm
- omnigen
- pag
- paint_by_example
- pia
- pixart_alpha
- sana