Instructions to use TensorVizion/StableDiffusion-1.4-Pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TensorVizion/StableDiffusion-1.4-Pruned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TensorVizion/StableDiffusion-1.4-Pruned", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Pruna AI
How to use TensorVizion/StableDiffusion-1.4-Pruned with Pruna AI:
from pruna import PrunaModel pip install -U diffusers transformers accelerate
from pruna import PrunaModel import torch # switch to "mps" for apple devices pipe = PrunaModel.from_pretrained("TensorVizion/StableDiffusion-1.4-Pruned", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 350 Bytes
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"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|startoftext|>",
"do_lower_case": true,
"eos_token": "<|endoftext|>",
"errors": "replace",
"is_local": true,
"local_files_only": false,
"model_max_length": 77,
"pad_token": "<|endoftext|>",
"tokenizer_class": "CLIPTokenizer",
"unk_token": "<|endoftext|>"
}
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