Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/CuriousMerge2.5D_v40E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/CuriousMerge2.5D_v40E 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/CuriousMerge2.5D_v40E", 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 vae/diffusion_pytorch_model.fp16.bin from digiplay/CuriousMerge2.5D_v40E: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/digiplay/CuriousMerge2.5D_v40E/resolve/main/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/CuriousMerge2.5D_v40E/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/digiplay/CuriousMerge2.5D_v40E/resolve/main/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- d7096f0a048def507762bc80ec7b55d17d68ef3430800c596591a261566c93d3
- Size of remote file:
- 167 MB
- SHA256:
- f58c4f6e96e6881c1dab30dd811e1bb5d16c1d1862c9e1a8a5884a2d77a6636b
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