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%2F8/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/DeliberateRemix@refs/pr/8/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/DeliberateRemix/resolve/refs%2Fpr%2F8/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0a492531b7fcd8bb51ed8757dce62ca9de20f5d3b1c43de5282beab10f62938d
- Size of remote file:
- 492 MB
- SHA256:
- 4a9865f49745b02bc54ede2eb3595c64122be21a5a3464b94a68882f99f37898
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