Instructions to use SidXXD/test4crossattentionmap-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/test4crossattentionmap-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/test4crossattentionmap-3", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/test4crossattentionmap-3: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/test4crossattentionmap-3/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/test4crossattentionmap-3/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/test4crossattentionmap-3/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 33ec774048b3c76fafccd0ef29b822fb315485ffe4206c19c11ced099a6a82a6
- Size of remote file:
- 76.7 MB
- SHA256:
- dea073f71a2c32b7d707f6740148fd745c68f901f66d4b14a163d436b2c9c3ec
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