Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
3D
XpucT
PotatCat
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DeliberateRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DeliberateRemix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/DeliberateRemix", 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 text_encoder/pytorch_model.bin from Yntec/DeliberateRemix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/DeliberateRemix/resolve/refs%2Fpr%2F6/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/DeliberateRemix@refs/pr/6/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/DeliberateRemix/resolve/refs%2Fpr%2F6/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 68c59d7738bcea3cc5e0f979ec6d96c1808fa9f8b1dbf3dfe41481e610b609bd
- Size of remote file:
- 492 MB
- SHA256:
- 776d8d61bc521d6d3f5b43ad8cca47cdae05bc7e15332077aa95013cd0b228d8
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