Instructions to use stablediffusionapi/modelsplicing62421 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/modelsplicing62421 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/modelsplicing62421", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/model.fp16.safetensors from stablediffusionapi/modelsplicing62421: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/modelsplicing62421/resolve/main/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/modelsplicing62421/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/stablediffusionapi/modelsplicing62421/resolve/main/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- dbc53b2561a6597e7c982594767c08e5fb2db7532f5a5062907face6fccf7016
- Size of remote file:
- 246 MB
- SHA256:
- 04cff58594b87e7039c5c6ccbea04ae6310659a7a767397e5c01d7ae3ad68869
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