Instructions to use mohamedsarjoon2003/wolf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mohamedsarjoon2003/wolf with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mohamedsarjoon2003/wolf", 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
Upload the concept wolf embeds and token
Browse files- README.md +23 -0
- SARJOON.ckpt +3 -0
README.md
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---
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license: creativeml-openrail-m
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tags:
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- NxtWave-GenAI-Webinar
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- text-to-image
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- stable-diffusion
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---
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### wolf Dreambooth model trained by mohamedsarjoon2003 following the "Build your own Gen AI model" session by NxtWave.
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Project Submission Code: AEC-730221104029
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Sample pictures of this concept:
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SARJOON.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0a71e8c5eaab2c880206a6dfe784aa1e7c83fd5f057d277f53d8f02370ebba4
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size 2132857119
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