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 Settings
- Draw Things
- DiffusionBee
Rename sd15_flowmatch_david_hf_1.safetensors to sd15_flowmatch_david_diffusers_e1.safetensors
444003e verified - Xet hash:
- ee7334daa30dcca48a0310aec78a59b48db8598728890c045b451c09876f2802
- Size of remote file:
- 3.85 GB
- SHA256:
- 3be5557ebefe92ce6bd43b5be2e50bd38cba938cce3e8c6cc2a6645297f5d19f
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