Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/mangledMerge_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/mangledMerge_v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/mangledMerge_v3", 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 digiplay/mangledMerge_v3: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/digiplay/mangledMerge_v3/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://digiplay/mangledMerge_v3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digiplay/mangledMerge_v3/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- ae6e8fee6a58a681ab87b151e24db0a31dd8cc8685827e5c3b5208de393c1d28
- Size of remote file:
- 1.36 GB
- SHA256:
- eb23d1939497c6abacea990f5c48768677f8492b97e7c8d69197c4295dec2931
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