Instructions to use Emilio407/flux2tiny-MiniCPM5-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emilio407/flux2tiny-MiniCPM5-1B 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.2-klein-4B,openbmb/MiniCPM5-1B,black-forest-labs/FLUX.2-small-decoder", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Emilio407/flux2tiny-MiniCPM5-1B") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload adapter.safetensors with huggingface_hub
Browse files- adapter.safetensors +3 -0
adapter.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02a5281560b78d74b11539e02b0570ca8579da75249c705a98606b672397065e
|
| 3 |
+
size 23608864
|