Instructions to use Mark000111888/llv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mark000111888/llv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mark000111888/llv2", 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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:89c1961334fbe259fe504ebed70631284536e4b089d17585c85884088ec7b5e0
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size 492265880
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e061cce4b701ed8c31f8362315fdb93240f154935b0a193797500a506750e0b
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size 3438167536
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8b011e5a18c53888d51a81aa28223ddec87b450c14dc9650d9c3ebbcd17624e
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size 167335350
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