Instructions to use lightx2v/Minimax-h3-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Minimax-h3-Turbo 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("lightx2v/Minimax-h3-Turbo", 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
Questions regarding the download and use of v1.0 LoRA (for beginners)
Hello, there are four versions of the 1.0 LoRA. Could you explain what the "768P" suffix in the model name means? Does it imply that the model can only be used for 768P resolution videos? Also, what does the "comfyui" suffix signify? Does this mean that LoRAs without the "comfyui" suffix cannot be used?
Hello, there are four versions of the 1.0 LoRA. Could you explain what the "768P" suffix in the model name means? Does it imply that the model can only be used for 768P resolution videos? Also, what does the "comfyui" suffix signify? Does this mean that LoRAs without the "comfyui" suffix cannot be used?
the LoRAs with "Comfyui" suffix are the ones you need for ComfyUi other ones are for LightX2V workflow which is not ComfyUi related
minimax_h3_fl2v_turbo_4step_v0.1 is the very first release by LightX2V
minimax_h3_fl2v_turbo_4step_v1.0_768p_bf16 this is much stable and better than previous one according to versioning and upload date too
minimax_h3_fl2v_turbo_8step_v1.0_bf16 is also the latest but it uses 8 steps instead of 4.
If you want to run with 8 steps then download 8 step lora but if you want to choose between 4 steps then definitely go with v1.0 not v0.1
I was wrong about 768p thingy please read instructions from the link Mr. Smarty Pants provided below.
Hello, there are four versions of the 1.0 LoRA. Could you explain what the "768P" suffix in the model name means? Does it imply that the model can only be used for 768P resolution videos? Also, what does the "comfyui" suffix signify? Does this mean that LoRAs without the "comfyui" suffix cannot be used?
Hello, there are four versions of the 1.0 LoRA. Could you explain what the "768P" suffix in the model name means? Does it imply that the model can only be used for 768P resolution videos? Also, what does the "comfyui" suffix signify? Does this mean that LoRAs without the "comfyui" suffix cannot be used?
the LoRAs with "Comfyui" suffix are the ones you need for ComfyUi other ones are for LightX2V workflow which is not ComfyUi related
768p is the H3's own default, because they haven't released 2k variant yet though they will according to their comment to one of the discussion on official repo, you can read in the attached screenshot about it:minimax_h3_fl2v_turbo_4step_v0.1 is the very first release by LightX2V
minimax_h3_fl2v_turbo_4step_v1.0_768p_bf16 this is much stable and better than previous one according to versioning and upload date too
minimax_h3_fl2v_turbo_8step_v1.0_bf16 is also the latest but it uses 8 steps instead of 4.If you want to run with 8 steps then download 8 step lora but if you want to choose between 4 steps then definitely go with v1.0 not v0.1
Read the instructions as explicitly stated in the front page of this repo https://github.com/ModelTC/Minimax-H3-Turbo#model-specs
Read the instructions as explicitly stated in the front page of this repo https://github.com/ModelTC/Minimax-H3-Turbo#model-specs
This reply was much better than the other one you left LMAO, like mistaking something was crime for people like you.

