Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use DarkMoonDragon/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DarkMoonDragon/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("DarkMoonDragon/trained-sd3", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "SD3Transformer2DModel", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "_name_or_path": "stabilityai/stable-diffusion-3-medium-diffusers", | |
| "attention_head_dim": 64, | |
| "caption_projection_dim": 1536, | |
| "dual_attention_layers": [], | |
| "in_channels": 16, | |
| "joint_attention_dim": 4096, | |
| "num_attention_heads": 24, | |
| "num_layers": 24, | |
| "out_channels": 16, | |
| "patch_size": 2, | |
| "pooled_projection_dim": 2048, | |
| "pos_embed_max_size": 192, | |
| "qk_norm": null, | |
| "sample_size": 128 | |
| } | |