Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ACROSS-Lab/PromptTo3D_sd_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ACROSS-Lab/PromptTo3D_sd_finetuned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ACROSS-Lab/PromptTo3D_sd_finetuned") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 128 Bytes
a74c434 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2ab54fc1b09d963c095b20c1796e31d79aab1a428d6fd18f2e8fdc8a77ed8fca
size 563
|