Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/test4crossattentionmap-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/test4crossattentionmap-all 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-all", 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-all: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/test4crossattentionmap-all/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/test4crossattentionmap-all/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/test4crossattentionmap-all/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 71005a82166813e76b165dd4d1cdbf5fa4fface2593bb083d8c8677c89500f9c
- Size of remote file:
- 76.7 MB
- SHA256:
- cb57080d6a7facd57213da37497f6c67a3db32712910ee815192742be4e664f7
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