LTX
Collection
1 item • Updated
How to use Rin247/LTX-2.5-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Rin247/LTX-2.5-Diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Quantised media packages of Lightricks/LTX-2.5-Diffusers.
MECHA — Model Engineering & Contextual Hearth Assembly
These media packages have been forged and optimized in the MECHA Forge.
LTX 2.5: text/image-to-video generation. 40 steps, CFG 3.0. Elaborate English prompts.
| Quant | Denoiser | Text encoder | VAE |
|---|---|---|---|
| FP8 | FP8 | FP8 | FP8 |
| INT8 | INT8 | INT8 | INT8 |
| FP4 | FP4 | FP4 | FP8 |
| INT4 | INT4 | INT4 | INT8 |
The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file.
In addition to the denoiser, text encoder, and VAE, the package includes:
From the source model card (adjust to taste):
| Parameter | Value |
|---|---|
| Steps | 30 |
| CFG / Guidance scale | 3.0 |
| Resolution | under 720x1280, <=257 frames |
| Notes | Elaborate English prompts; negative prompt supported |
Caught in the moment (candid, slice of life):
masterpiece, best quality, highres, absurdres, very aesthetic, safe, 1man, solo,
candid moment, natural lighting. A sunlit park bench in autumn, falling leaves,
a bicycle leaning nearby, warm afternoon light. A 29-year-old man with platinum
hair and blue eyes. He has an athletic build and a relaxed expression. He wears
a denim jacket and jeans, holding a camera, mid-smile, candid and relaxed.
Fashion photography (magazine cover style):
Fashion film still: a 29-year-old woman with platinum hair, sharp cheekbones,
and blue eyes; wearing a metallic silver gown, diamond earrings, stiletto heels;
studio spotlight, motion blur, cinematic, 24fps, 8K.
Scenery:
Scenery: a sweeping drone shot of a fjord at sunset, golden light on water,
mountains, clouds, boats, cinematic, 8K.