Instructions to use UmerHA/Testing-ConrolNetXS-SDXL-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmerHA/Testing-ConrolNetXS-SDXL-depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmerHA/Testing-ConrolNetXS-SDXL-depth", 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
Upload 2 files
Browse files- config.json +1 -1
config.json
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"CrossAttnDownBlock2D"
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],
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"learn_time_embedding": true,
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"
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"sample_size": 128,
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"time_embedding_dim": 1280,
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"time_embedding_input_dim": 320,
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"CrossAttnDownBlock2D"
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],
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"learn_time_embedding": true,
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"max_norm_num_groups": 32,
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"sample_size": 128,
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"time_embedding_dim": 1280,
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"time_embedding_input_dim": 320,
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