Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use minimini99/v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minimini99/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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("minimini99/v2") prompt = "A [v2] vase" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-400/optimizer.bin from minimini99/v2: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/minimini99/v2/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://minimini99/v2/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/minimini99/v2/resolve/main/checkpoint-400/optimizer.bin
47.4 MB
- Xet hash:
- b89b22bc6d1749da894f1458029ffdefef5c9180e9c5e42b05eca099c3d1ac37
- Size of remote file:
- 47.4 MB
- SHA256:
- 10aab73407cc89e4cc978f4b5596f275985b136ec1eeb071deb6b5a40c39760d
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