Instructions to use diffusers/t2iadapter_canny_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/t2iadapter_canny_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/t2iadapter_canny_sd14v1", 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
Commit ·
c514449
1
Parent(s): 4d9ab1f
init
Browse files- config.json +13 -0
- diffusion_pytorch_model.bin +3 -0
config.json
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{
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"_class_name": "T2IAdapter",
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"_diffusers_version": "0.18.0.dev0",
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"adapter_type": "full_adapter",
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"channels": [
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320,
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640,
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1280,
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1280
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],
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"in_channels": 1,
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"num_res_blocks": 2
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}
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diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:24c267768c1f636a4fb81460d06fbc626fc9718f49d9f719d071e15e0235ef37
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size 308017523
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