Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/blend_factor_78 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/blend_factor_78 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_78", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 0768b5ba2c7cfda852d7170497b1ba71b0cff3a6632f5251fc6a617a6d66aa26
- Size of remote file:
- 609 MB
- SHA256:
- b7d7774f41f63d3a599d6e0767f9cf5b8ac4a7944e347d15cab97331874cc84e
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