Instructions to use jbilcke-hf/CogVideoX-Fun-V1.5-5b-for-InferenceEndpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbilcke-hf/CogVideoX-Fun-V1.5-5b-for-InferenceEndpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jbilcke-hf/CogVideoX-Fun-V1.5-5b-for-InferenceEndpoints", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload model-00001-of-00002.safetensors
Browse files
text_encoder/model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9162b8ae9152e7a8e3bbebc535c8692783f50aec8cd3bb8ef6a751c432dd6392
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size 4994582224
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