Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/caat_clean-pg_encoder_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/caat_clean-pg_encoder_1000 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/caat_clean-pg_encoder_1000", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/caat_clean-pg_encoder_1000: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/caat_clean-pg_encoder_1000/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/caat_clean-pg_encoder_1000/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/caat_clean-pg_encoder_1000/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- 769ad080f8ba87713e65205615f53307b50403ae2fecf4332d33a8a685ba0614
- Size of remote file:
- 102 MB
- SHA256:
- 1a916d1c3e3b70033f5d2cf0fc03748af903bdd6716f01d8631e4945ff23425a
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