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
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README.md
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@@ -57,7 +57,7 @@ The data used to train this model is the dataset available on uggingface at 'rem
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you can download it thanks to the command
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```python
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from datasets import load_dataset
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dataset = load_dataset("
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```
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This dataset is a subset of the dataset [Objaverse](https://objaverse.allenai.org/).
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you can download it thanks to the command
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```python
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from datasets import load_dataset
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dataset = load_dataset("ACROSS-Lab/PromptTo3D_sd_dataset", split = 'train')
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```
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This dataset is a subset of the dataset [Objaverse](https://objaverse.allenai.org/).
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