Instructions to use kmpartner/testcn-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/testcn-temp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/testcn-temp", 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
Upload folder using huggingface_hub
Browse files- pcm-temp/k5pcm-unet/vega/checkpoint-20000/heads.pth +3 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/optimizer.bin +3 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/optimizer_1.bin +3 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/random_states_0.pkl +3 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/scaler.pt +3 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/scheduler.bin +3 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/unet/config.json +73 -0
- pcm-temp/k5pcm-unet/vega/checkpoint-20000/unet/diffusion_pytorch_model.safetensors +3 -0
pcm-temp/k5pcm-unet/vega/checkpoint-20000/heads.pth
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/optimizer.bin
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/optimizer_1.bin
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/random_states_0.pkl
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/scaler.pt
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/scheduler.bin
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/unet/config.json
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{
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"mid_block_type": "UNetMidBlock2D",
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"norm_eps": 1e-05,
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}
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pcm-temp/k5pcm-unet/vega/checkpoint-20000/unet/diffusion_pytorch_model.safetensors
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