Instructions to use Nacholmo/meinamixv7-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/meinamixv7-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nacholmo/meinamixv7-diffusers", 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 unet/diffusion_pytorch_model.fp16.safetensors from Nacholmo/meinamixv7-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Nacholmo/meinamixv7-diffusers/resolve/main/unet/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://Nacholmo/meinamixv7-diffusers/unet/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/Nacholmo/meinamixv7-diffusers/resolve/main/unet/diffusion_pytorch_model.fp16.safetensors
1.72 GB
- Xet hash:
- 084aa805138e4b65418d76e510b6be6b752ab042e226a6cfd36d594c01c57ae9
- Size of remote file:
- 1.72 GB
- SHA256:
- cb66c134d885f9758a9d4d015d9104c47e75011c52cbd6f077b7d1425dec2585
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