Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-matching-try2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-matching-try2 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-try2", 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 Settings
- Draw Things
- DiffusionBee
Ctrl+K
- 442 kB xet
- 306 kB xet
- 426 kB xet
- 395 kB xet
- 266 kB xet
- 429 kB xet
- 313 kB xet
- 281 kB xet
- 567 kB xet
- 376 kB xet
- 323 kB xet
- 441 kB xet
- 501 kB xet
- 265 kB xet
- 391 kB xet
- 474 kB xet
- 354 kB xet
- 450 kB xet
- 387 kB xet
- 299 kB xet
- 519 kB xet
- 345 kB xet
- 211 kB xet
- 490 kB xet
- 278 kB xet
- 630 kB xet
- 418 kB xet
- 420 kB xet
- 397 kB xet
- 470 kB xet
- 611 kB xet
- 417 kB xet
- 222 kB xet
- 457 kB xet
- 362 kB xet
- 647 kB xet
- 341 kB xet
- 409 kB xet
- 493 kB xet
- 336 kB xet
- 546 kB xet
- 431 kB xet
- 327 kB xet
- 641 kB xet
- 201 kB xet
- 664 kB xet
- 312 kB xet
- 359 kB xet
- 527 kB xet
- 211 kB xet