Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-matching with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AbstractPhil/sd15-flow-matching", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- 329 kB xet
- 226 kB xet
- 392 kB xet
- 304 kB xet
- 225 kB xet
- 350 kB xet
- 278 kB xet
- 220 kB xet
- 205 kB xet
- 324 kB xet
- 321 kB xet
- 209 kB xet
- 638 kB xet
- 312 kB xet
- 283 kB xet
- 373 kB xet
- 402 kB xet
- 489 kB xet
- 432 kB xet
- 300 kB xet
- 304 kB xet
- 202 kB xet
- 610 kB xet
- 363 kB xet
- 206 kB xet
- 320 kB xet
- 233 kB xet
- 422 kB xet
- 496 kB xet
- 243 kB xet
- 324 kB xet
- 290 kB xet
- 554 kB xet
- 397 kB xet
- 249 kB xet
- 357 kB xet
- 230 kB xet
- 485 kB xet
- 413 kB xet
- 221 kB xet
- 247 kB xet
- 275 kB xet
- 437 kB xet
- 197 kB xet
- 364 kB xet
- 418 kB xet
- 414 kB xet
- 627 kB xet
- 283 kB xet
- 302 kB xet