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
Delete folder scheduler/.ipynb_checkpoints with huggingface_hub
Browse files
scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json
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{
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"_class_name": "DDPMScheduler",
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"_diffusers_version": "0.17.0.dev0",
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"num_train_timesteps": 1000,
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"beta_schedule": "squaredcos_cap_v2",
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"beta_start": 0.00085,
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"beta_end":0.012,
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"clip_sample" : true,
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"set_alpha_to_one" : false,
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"steps_offset" : 1,
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"prediction_type" : "epsilon",
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"thresholding" : false
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}
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