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
| { | |
| "_name_or_path": "/home/paperspace/.cache/huggingface/hub/models--stabilityai--stable-diffusion-3-medium-diffusers/snapshots/b1148b4028b9ec56ebd36444c193d56aeff7ab56/text_encoder_2", | |
| "architectures": [ | |
| "CLIPTextModelWithProjection" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "dropout": 0.0, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_size": 1280, | |
| "initializer_factor": 1.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 5120, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 77, | |
| "model_type": "clip_text_model", | |
| "num_attention_heads": 20, | |
| "num_hidden_layers": 32, | |
| "pad_token_id": 1, | |
| "projection_dim": 1280, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2", | |
| "vocab_size": 49408 | |
| } | |