Instructions to use LiconStudio/VBVR-wan2.2-comfy-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiconStudio/VBVR-wan2.2-comfy-bf16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LiconStudio/VBVR-wan2.2-comfy-bf16", 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 LiconStudio/VBVR-wan2.2-comfy-bf16 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
Inference settings for VBVR-wan2.2-comfy-bf16.safetensors
1
#3 opened about 1 month ago
by
Heouzen
is the “SNR-Calibrated-Hybrid”I in the document an HiFi FP8 model, and does it need to be used with lightx2Vlora for acceleration?
2
#2 opened about 2 months ago
by
RedHn
Can this model be quantized to FP8 scale?
8
#1 opened 3 months ago
by
Nuke1229