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
- Draw Things
- DiffusionBee

- Xet hash:
- f196dec33fc9decf3c72304ed715d5fd9aeccd7934f9a5c0362f3948dc31d172
- Size of remote file:
- 1.65 MB
- SHA256:
- 44efebf8dc324cf739275ed25ab4cd2317fa6a3b10fbab6062b2c0a9ca5300b6
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