Instructions to use ai-forever/kandinsky3_controlnet_v2_scribble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ai-forever/kandinsky3_controlnet_v2_scribble 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_scribble", 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
Download text_encoder/pytorch_model.bin from ai-forever/kandinsky3_controlnet_v2_scribble: direct link, hf CLI and curl.
- Browser
- Download file 34.9 GB
-
https://huggingface.co/ai-forever/kandinsky3_controlnet_v2_scribble/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ai-forever/kandinsky3_controlnet_v2_scribble/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai-forever/kandinsky3_controlnet_v2_scribble/resolve/main/text_encoder/pytorch_model.bin
34.9 GB
- Xet hash:
- db97225ec1d99b77c7fafea73b0cfbd69d73911beed59021791a27b68ea51db9
- Size of remote file:
- 34.9 GB
- SHA256:
- b804e13439715df6fc1f7b5bd602df7aeef06bd3c2880862597e83f38a8d7c0c
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