Any-to-Any
Transformers
Diffusers
Safetensors
text-to-image
image-editing
image-understanding
vision-language
multimodal
autoregressive
unified-model
Instructions to use Skywork/UniPic2-SD3.5M-Kontext-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/UniPic2-SD3.5M-Kontext-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/UniPic2-SD3.5M-Kontext-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 487 Bytes
4872f36 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_class_name": "FlowMatchEulerDiscreteScheduler",
"_diffusers_version": "0.35.0.dev0",
"base_image_seq_len": 256,
"base_shift": 0.5,
"invert_sigmas": false,
"max_image_seq_len": 4096,
"max_shift": 1.15,
"num_train_timesteps": 1000,
"shift": 3.0,
"shift_terminal": null,
"stochastic_sampling": false,
"time_shift_type": "exponential",
"use_beta_sigmas": false,
"use_dynamic_shifting": false,
"use_exponential_sigmas": false,
"use_karras_sigmas": false
}
|