Instructions to use personal1802/34per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/34per with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdv1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/34per") prompt = "1milf, simple background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
cgTextureLightAnd_norfleetV15x0.5+kakarot25DCozy_cozyx0.5.fp16x0.5+kakarot28D_v17x0.5.fp16x0.5+dak%20jangx0.5.fp16x0.25+000A-002x0.75.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:390153667d742052cb570412493e905b1319e3aa0601537cb1169f3502686052
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size 2400067148
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images/00858-20231201_011508_607670.png
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Git LFS Details
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