Instructions to use BreakpointAI/socknetq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BreakpointAI/socknetq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BreakpointAI/socknetq", 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 History
9 days ago
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Add weighter_steps.txt
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Add global_nonull_step.txt
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Add global_conf_step.txt
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Add nash_mtl_weights_ema.safetensors
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Add nash_mtl_weights_conf_ema.safetensors
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Add weighter.pth
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Add conf_weighter.pth
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Add pytorch_lora_weights.safetensors
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Add boxnet/boxnet_weights.safetensors
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Add pytorch_model/mp_rank_00_model_states.pt
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Add model card
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initial commit
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