Instructions to use itsVilen/trailmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use itsVilen/trailmodel1 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("itsVilen/trailmodel1") prompt = "Anime boy with six pack abs" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from itsVilen/trailmodel1: direct link, hf CLI and curl.
- Browser
- Download file 562 Bytes
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https://huggingface.co/itsVilen/trailmodel1/resolve/main/README.md
- Command line
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hf download hf://itsVilen/trailmodel1/README.md
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curl -L -o README.md https://huggingface.co/itsVilen/trailmodel1/resolve/main/README.md
562 Bytes
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: Anime boy with six pack abs | |
| output: | |
| url: images/CodeKnits7_waifu2x_photo_noise3_scale.png | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: 3d render | |
| license: apache-2.0 | |
| # 3D Render | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `3d render` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/itsVilen/3D_render/tree/main) them in the Files & versions tab. | |