Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-lune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-lune 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-lune", 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
Upload config.json with huggingface_hub
Browse files- config.json +2 -1
config.json
CHANGED
|
@@ -12,5 +12,6 @@
|
|
| 12 |
"dropout": 0.1,
|
| 13 |
"max_train_steps": 50000,
|
| 14 |
"checkpointing_steps": 1000,
|
| 15 |
-
"num_workers":
|
|
|
|
| 16 |
}
|
|
|
|
| 12 |
"dropout": 0.1,
|
| 13 |
"max_train_steps": 50000,
|
| 14 |
"checkpointing_steps": 1000,
|
| 15 |
+
"num_workers": 0,
|
| 16 |
+
"vae_scale": 0.18215
|
| 17 |
}
|