Instructions to use CornLogic/10EROS_1.4_Int8_ConvRot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CornLogic/10EROS_1.4_Int8_ConvRot 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("CornLogic/10EROS_1.4_Int8_ConvRot", 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
unable to run the 10Eros_v1.4_Bob_DMD_INT8_Convrot.safetensors
#2
by Tanhy - opened
Hi, Iam unable to run the "10Eros_v1.4_Bob_DMD_INT8_Convrot.safetensors" with the eros v5 workflow. Is there supposed to be both audio and video VAEs in the checkpoint? Iam new to LTX.
Updated comfyui and dependencies
rtx 5060ti 16gb, 32gb vram
Hi, no its not a checkpoint, you need to use standard loaders. This workflow shows you how to integrate it into any existing workflow.
https://huggingface.co/tech77/Workflows/blob/main/10Eros_10SNodes_I2V_Basic_DMD_V5_int8.json
This is the same as Kijai's method
https://huggingface.co/Kijai/LTX2.3_comfy
Hope that helps.