Instructions to use stepfun-ai/Step1X-Edit-v1p1-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stepfun-ai/Step1X-Edit-v1p1-diffusers 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("stepfun-ai/Step1X-Edit-v1p1-diffusers", 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
Upload transformer/config.json with huggingface_hub
Browse files- transformer/config.json +25 -0
transformer/config.json
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{
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"_class_name": "Step1XEditTransformer2DModel",
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"_diffusers_version": "0.35.0.dev0",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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56,
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56
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],
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"connector_depth": 2,
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"connector_heads_num": 32,
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"connector_hidden_size": 4096,
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"connector_in_channels": 3584,
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"connector_need_CA": false,
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"guidance_embeds": false,
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"in_channels": 64,
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"joint_attention_dim": 4096,
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"num_attention_heads": 24,
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"num_layers": 19,
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"num_single_layers": 38,
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"out_channels": 64,
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"patch_size": 1,
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"timestep_in_dim": 256,
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"vector_in_dim": 768
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}
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