Instructions to use rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - PEFT
How to use rzgar/minimax_h3_fl2v_lightx2v_4step_int8-convrot_comfy with PEFT:
Task type is invalid.
- Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
What are the advantages of the int8 Lightning LoRa, and will it be faster and better?
1
#4 opened 20 days ago
by
RedHn
workflow for there three lora how to use.
5
#3 opened 20 days ago
by
xueqing12
requesting the new lightx v1 version conversion.
👍 1
2
#2 opened 22 days ago
by
asdkoko