Instructions to use Charles322/agentic_1_resources with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Charles322/agentic_1_resources with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Charles322/agentic_1_resources", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use Charles322/agentic_1_resources with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Charles322/agentic_1_resources --local-dir agentic_1_resources
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
- Atomic Chat
Commit History
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Add BK-SDM Small (fp32) - Full precision for maximum quality
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Add BK-SDM Small (fp16) - Half precision for faster inference
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Add README with download badges and model documentation
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Add BK-SDM Small model (SafeTensors, ~1GB)
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initial commit
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