Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Realism
Female
Woman
cordonsolution8
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/insaneRealistic_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/insaneRealistic_v2 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/insaneRealistic_v2", 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/model.safetensors from Yntec/insaneRealistic_v2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/insaneRealistic_v2/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/insaneRealistic_v2/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/insaneRealistic_v2/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- ae33cccc1f89a53c3e05ebbfe08aa04d65eefc88ab98489dc4c16a4ec4cda1f1
- Size of remote file:
- 492 MB
- SHA256:
- 01bffd528f3a3e2ab952dec05e755d2e8cd92e7ab332b9b03ae64315dfe0bf53
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