Instructions to use ai-forever/kandinsky3_controlnet_v2_depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ai-forever/kandinsky3_controlnet_v2_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("ai-forever/kandinsky3_controlnet_v2_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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
movq/diffusion_pytorch_model.safetensors
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text_encoder/model.safetensors
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oid sha256:cd5750dfcb0d16df77e9e77fe48f988905f6742e200c3592c990a19d9e85987d
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size 34887227032
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unet/diffusion_pytorch_model.safetensors
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oid sha256:1283382c1a2d5a6d3cf5c01e93856ff362895e15c3c714e94d71a13957789f07
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size 12221551008
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unet_controlnet/diffusion_pytorch_model.safetensors
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oid sha256:aa8ff5bc4aebff3f5246ae93473b33e8226f5616ec8e653ad0f18a0d31943bb3
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size 939287384
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