Instructions to use ankush10010/SD1.5_distilled_attentionlayer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ankush10010/SD1.5_distilled_attentionlayer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ankush10010/SD1.5_distilled_attentionlayer", 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
Download text_encoder/model.safetensors from ankush10010/SD1.5_distilled_attentionlayer: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/ankush10010/SD1.5_distilled_attentionlayer/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://ankush10010/SD1.5_distilled_attentionlayer/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ankush10010/SD1.5_distilled_attentionlayer/resolve/main/text_encoder/model.safetensors
246 MB
- Size of remote file:
- 246 MB
- SHA256:
- 660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd
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