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

- Xet hash:
- fd07e722c63d9e2cde93f2a73b7062bc510527db5e1f00dd153df1d478ae830f
- Size of remote file:
- 1.47 MB
- SHA256:
- bf1751507fdbe1272662627f5bef8b195f267f8f7e6de3d0a10ec56928db072f
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