Instructions to use lsmpp/kontextrefiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lsmpp/kontextrefiner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lsmpp/kontextrefiner", 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
Normalization layers
Customized normalization layers for supporting various models in 🤗 Diffusers.
AdaLayerNorm
[[autodoc]] models.normalization.AdaLayerNorm
AdaLayerNormZero
[[autodoc]] models.normalization.AdaLayerNormZero
AdaLayerNormSingle
[[autodoc]] models.normalization.AdaLayerNormSingle
AdaGroupNorm
[[autodoc]] models.normalization.AdaGroupNorm
AdaLayerNormContinuous
[[autodoc]] models.normalization.AdaLayerNormContinuous
RMSNorm
[[autodoc]] models.normalization.RMSNorm
GlobalResponseNorm
[[autodoc]] models.normalization.GlobalResponseNorm
LuminaLayerNormContinuous
[[autodoc]] models.normalization.LuminaLayerNormContinuous
SD35AdaLayerNormZeroX
[[autodoc]] models.normalization.SD35AdaLayerNormZeroX
AdaLayerNormZeroSingle
[[autodoc]] models.normalization.AdaLayerNormZeroSingle
LuminaRMSNormZero
[[autodoc]] models.normalization.LuminaRMSNormZero
LpNorm
[[autodoc]] models.normalization.LpNorm
CogView3PlusAdaLayerNormZeroTextImage
[[autodoc]] models.normalization.CogView3PlusAdaLayerNormZeroTextImage
CogVideoXLayerNormZero
[[autodoc]] models.normalization.CogVideoXLayerNormZero
MochiRMSNormZero
[[autodoc]] models.transformers.transformer_mochi.MochiRMSNormZero
MochiRMSNorm
[[autodoc]] models.normalization.MochiRMSNorm