Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/blend_factor_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/blend_factor_310 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_310", 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
- Xet hash:
- 69bbf8a1a43c2e45d187bfcd8bcd916e4c08fa0a62bee71ce0c24156ab5d149e
- Size of remote file:
- 102 MB
- SHA256:
- 6151189b8f26e46f7ca2febbfd3dc59cf5172be9104b46949012f1d9bae990ff
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