Instructions to use kandinskylab/Kandinsky-6.0-VSR-distilled2steps-5s-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinskylab/Kandinsky-6.0-VSR-distilled2steps-5s-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinskylab/Kandinsky-6.0-VSR-distilled2steps-5s-Diffusers", 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
Re-key latent_upscaler state_dict for the FeedForward/TimestepEmbedding/attn/dec_block/private_/ModuleList/OutputHead module renames
Browse files
latent_upscaler/diffusion_pytorch_model.safetensors
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