Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/eps_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/eps_100 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/eps_100", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/eps_100: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/eps_100/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/eps_100/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/eps_100/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- c1ee0a468c3b9e73e796cf7b68162105a80c17473e01dbb857c091d7a51b57ee
- Size of remote file:
- 102 MB
- SHA256:
- fdae5cc2628891993b6b122262c210ed92f2f9e02ba6799f60f6933b923d81fd
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