Image-to-Image
Diffusers
Safetensors
English
FluxKleinPipeline
image-editing
instruction-based-image-editing
4k
distillation
dcae
Instructions to use openvivo/BluePixel-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openvivo/BluePixel-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openvivo/BluePixel-Turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download vae/config.json from openvivo/BluePixel-Turbo: direct link, hf CLI and curl.
- Browser
- Download file 1.62 kB
-
https://huggingface.co/openvivo/BluePixel-Turbo/resolve/main/vae/config.json
- Command line
-
hf download hf://openvivo/BluePixel-Turbo/vae/config.json
-
curl -L -o config.json https://huggingface.co/openvivo/BluePixel-Turbo/resolve/main/vae/config.json
1.62 kB
| { | |
| "_class_name": "AutoencoderDC", | |
| "_diffusers_version": "0.39.0", | |
| "_name_or_path": "assets/pretrained_models/fluxklein/sft-lora-v3-4k-step_35000/vae", | |
| "attention_head_dim": 32, | |
| "decoder_act_fns": [ | |
| "relu", | |
| "relu", | |
| "relu", | |
| "silu", | |
| "silu", | |
| "silu", | |
| "silu" | |
| ], | |
| "decoder_block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512, | |
| 1024, | |
| 1024, | |
| 2048 | |
| ], | |
| "decoder_block_types": [ | |
| "ResBlock", | |
| "ResBlock", | |
| "ResBlock", | |
| "EfficientViTBlock", | |
| "EfficientViTBlock", | |
| "EfficientViTBlock", | |
| "EfficientViTBlock" | |
| ], | |
| "decoder_conv_act_fn": "relu", | |
| "decoder_in_shortcut": true, | |
| "decoder_layers_per_block": [ | |
| 0, | |
| 5, | |
| 10, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "decoder_norm_types": [ | |
| "batch_norm", | |
| "batch_norm", | |
| "batch_norm", | |
| "rms_norm", | |
| "rms_norm", | |
| "rms_norm", | |
| "rms_norm" | |
| ], | |
| "decoder_qkv_multiscales": [ | |
| [], | |
| [], | |
| [], | |
| [], | |
| [], | |
| [], | |
| [] | |
| ], | |
| "downsample_block_type": "pixel_unshuffle", | |
| "encoder_block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512, | |
| 1024, | |
| 1024, | |
| 2048 | |
| ], | |
| "encoder_block_types": [ | |
| "ResBlock", | |
| "ResBlock", | |
| "ResBlock", | |
| "EfficientViTBlock", | |
| "EfficientViTBlock", | |
| "EfficientViTBlock", | |
| "EfficientViTBlock" | |
| ], | |
| "encoder_layers_per_block": [ | |
| 0, | |
| 4, | |
| 8, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "encoder_out_shortcut": true, | |
| "encoder_qkv_multiscales": [ | |
| [], | |
| [], | |
| [], | |
| [], | |
| [], | |
| [], | |
| [] | |
| ], | |
| "in_channels": 3, | |
| "latent_channels": 128, | |
| "scaling_factor": 0.4538, | |
| "upsample_block_type": "pixel_shuffle" | |
| } | |