Text-to-Video
Diffusers
Safetensors
Wan2.2
bernini_renderer
comfyui
bernini-r
video-editing
reference-to-video
fp8
Instructions to use neuregex/Bernini-R-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuregex/Bernini-R-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neuregex/Bernini-R-fp8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Wan2.2
How to use neuregex/Bernini-R-fp8 with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17ef97d7653985f720a6290cef382ed878a01d587be65f991b0f1d17dd9b5686
- Size of remote file:
- 4.94 GB
- SHA256:
- a8e861969c7433e707cc5a74065d795d36cca07ec96eb6763eb4083df7248f58
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