Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use jkcarney/source4_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jkcarney/source4_v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jkcarney/source4_v1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/fantasy_examples2..png from jkcarney/source4_v1.0: direct link, hf CLI and curl.
- Browser
- Download file 3.34 MB
-
https://huggingface.co/jkcarney/source4_v1.0/resolve/main/images/fantasy_examples2..png
- Command line
-
hf download hf://jkcarney/source4_v1.0/images/fantasy_examples2..png
-
curl -L -o fantasy_examples2..png https://huggingface.co/jkcarney/source4_v1.0/resolve/main/images/fantasy_examples2..png
3.34 MB

- Xet hash:
- 3464a7db6305dd107693ca09358e262ac70afacef66c0cd4ef95a00901489e7b
- Size of remote file:
- 3.34 MB
- SHA256:
- dc3834aaef5416ddb387c8d1b5e73fb911c06a908e76ba447d555395115bfc4e
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