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:
- 7881f9359f821b38d967ca07d3aa033cc3f8f3afd704ab116f2ae8bd8dc30e73
- Size of remote file:
- 1.6 MB
- SHA256:
- 96ed1926f0adb4794e0761b59b0b5ef301586a7686aedd43b0140f5238a6178d
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