Instructions to use B4100/dr34mLTX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/dr34mLTX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lynaNSFW/LTX2.3_reasoning_I2V", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/dr34mLTX") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
DR34ML4Y_LTXXX_V1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9a4d15c1eb780d9ca312d4647129685694ff808b84879a419b6ff212ce585d3
|
| 3 |
+
size 1940553800
|
images/outputs_v6CfoqtmpxUk8F67XD4WYHmecHC3_byaoFl1mr2aXktzb8uLs.png
ADDED
|
Git LFS Details
|