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
- Xet hash:
- 7fe9e752ba9556d838380c769cb9ec85b84f3ba61e8071175373eacf3ed9f450
- Size of remote file:
- 15.7 kB
- SHA256:
- a6a683f35756f4d0883db43fda473e13b39e236b74245cef3aed23ceef36934a
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