Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
Instructions to use tiovikram/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiovikram/trained-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tiovikram/trained-sd3", dtype=torch.bfloat16, device_map="cuda") prompt = "a new yorker style comic of two aliens standing in line for a movie" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download scheduler/scheduler_config.json from tiovikram/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 141 Bytes
-
https://huggingface.co/tiovikram/trained-sd3/resolve/main/scheduler/scheduler_config.json
- Command line
-
hf download hf://tiovikram/trained-sd3/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/tiovikram/trained-sd3/resolve/main/scheduler/scheduler_config.json
141 Bytes
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.30.0.dev0", | |
| "num_train_timesteps": 1000, | |
| "shift": 3.0 | |
| } | |