Instructions to use linyq/kiwi-edit-5b-instruct-reference-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linyq/kiwi-edit-5b-instruct-reference-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("linyq/kiwi-edit-5b-instruct-reference-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": [ | |
| "pipeline_kiwi_edit", | |
| "KiwiEditPipeline" | |
| ], | |
| "_diffusers_version": "0.32.0", | |
| "processor": [ | |
| "transformers", | |
| "AutoProcessor" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "WanTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "wan_video_vae", | |
| "VAE" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "mllm_encoder": [ | |
| "mllm_encoder", | |
| "MLLMEncoder" | |
| ], | |
| "source_embedder": [ | |
| "conditional_embedder", | |
| "ConditionalEmbedder" | |
| ], | |
| "ref_embedder": [ | |
| "conditional_embedder", | |
| "ConditionalEmbedder" | |
| ] | |
| } |