Instructions to use stepfun-ai/NextStep-1-Large-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/NextStep-1-Large-Edit with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-image" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-image", model="stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/NextStep-1-Large-Edit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
d6b0dd5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"resolution": 256,
"in_channels": 3,
"ch": 128,
"out_ch": 3,
"ch_mult": [1, 2, 4, 4],
"num_res_blocks": 2,
"z_channels": 16,
"shift_factor": 0,
"scaling_factor": 1,
"deterministic": true,
"norm_fn": "layer_norm",
"norm_level": "channel",
"psz": 1
} |