Instructions to use Deltadahl/backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deltadahl/backup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deltadahl/backup", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Add files using upload-large-folder tool
Browse files- 100-CytoData_zoom_3/unet/diffusion_pytorch_model.safetensors +3 -0
- other/1000000-anomaly-erythroblast_HPC/checkpoint-42000-95.14/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- other/22000-generalise_RAmixup_5/checkpoint-22000-94.07/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- other/22000-generalise_RAmixup_6/checkpoint-22000-94.07/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- other/500000-anomaly_erythroblast/checkpoint-140000-99.29/unet_ema/diffusion_pytorch_model.safetensors +3 -0
- other/pretrained/unet/diffusion_pytorch_model.safetensors +3 -0
100-CytoData_zoom_3/unet/diffusion_pytorch_model.safetensors
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other/1000000-anomaly-erythroblast_HPC/checkpoint-42000-95.14/unet_ema/diffusion_pytorch_model.safetensors
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other/22000-generalise_RAmixup_5/checkpoint-22000-94.07/unet_ema/diffusion_pytorch_model.safetensors
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other/22000-generalise_RAmixup_6/checkpoint-22000-94.07/unet_ema/diffusion_pytorch_model.safetensors
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oid sha256:ca3470a380c74bbaf8e2f870f0b71aada09cc263ab8c466335cc13d341cd049d
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size 3438167536
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other/500000-anomaly_erythroblast/checkpoint-140000-99.29/unet_ema/diffusion_pytorch_model.safetensors
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oid sha256:1b705ee6540e9389c7514fd3e66c2371976a66deaffe334c82d685db24f754d6
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size 3438167536
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other/pretrained/unet/diffusion_pytorch_model.safetensors
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size 3438167536
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