Text-to-Image
Diffusers
Safetensors
flux
flux-diffusers
simpletuner
safe-for-work
lora
template:sd-lora
lycoris
Instructions to use davidrd123/Flux-Raphael-LoRA-NoCrops-EMA-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davidrd123/Flux-Raphael-LoRA-NoCrops-EMA-Fast with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("davidrd123/Flux-Raphael-LoRA-NoCrops-EMA-Fast") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA EMA checkpoint auto-generated by SimpleTuner
Browse files- ema/ema_model.pt +1 -1
ema/ema_model.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 109613626
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef79b09340d6976e2093ca37cc30f8a46875ce22365c324be9ee1f7a34f909f4
|
| 3 |
size 109613626
|