Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/blend_factor_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/blend_factor_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/blend_factor_1000", 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/blend_factor_1000: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/blend_factor_1000/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/blend_factor_1000/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/blend_factor_1000/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- 333e4e53d6753bba37f8d8783e34c42a2b05d41d4e3f6bff30d1c5f2b2ba8221
- Size of remote file:
- 102 MB
- SHA256:
- 68f62ccc52e7c3d1cfce5c894ed6e412a3229f3b40f2424dbf01d3bd5b82aa25
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