Instructions to use ViTeX-Bench/ViTeX-Edit-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ViTeX-Bench/ViTeX-Edit-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ViTeX-Bench/ViTeX-Edit-14B", 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
File size: 1,306 Bytes
bc8c4af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | def LTX2VideoEncoderStateDictConverter(state_dict):
state_dict_ = {}
for name in state_dict:
if name.startswith("vae.encoder."):
new_name = name.replace("vae.encoder.", "")
state_dict_[new_name] = state_dict[name]
elif name.startswith("vae.per_channel_statistics."):
new_name = name.replace("vae.per_channel_statistics.", "per_channel_statistics.")
if new_name not in ["per_channel_statistics.channel", "per_channel_statistics.mean-of-stds", "per_channel_statistics.mean-of-stds_over_std-of-means"]:
state_dict_[new_name] = state_dict[name]
return state_dict_
def LTX2VideoDecoderStateDictConverter(state_dict):
state_dict_ = {}
for name in state_dict:
if name.startswith("vae.decoder."):
new_name = name.replace("vae.decoder.", "")
state_dict_[new_name] = state_dict[name]
elif name.startswith("vae.per_channel_statistics."):
new_name = name.replace("vae.per_channel_statistics.", "per_channel_statistics.")
if new_name not in ["per_channel_statistics.channel", "per_channel_statistics.mean-of-stds", "per_channel_statistics.mean-of-stds_over_std-of-means"]:
state_dict_[new_name] = state_dict[name]
return state_dict_
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