Instructions to use asdasdasd1234567890/asd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use asdasdasd1234567890/asd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("asdasdasd1234567890/asd", 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
Ctrl+K
This model has 61 files scanned as unsafe.
- Florence-2-base-PromptGen-v2.0
- Florence-2-large-PromptGen-v2.0
- Flux-Prompt-Enhance
- Huihui-Qwen3-VL-2B-Instruct-abliterated
- Huihui-Qwen3-VL-4B-Instruct-abliterated
- Huihui-Qwen3-VL-4B-Thinking-abliterated
- Josiefied-Qwen3-VL-4B-Instruct-abliterated-beta-v1
- LFM2.5-1.2B-Z-Image-Engineer-V4
- Qwen3-4b-Z-Image-Engineer-V4
- Qwen3-VL-4B-Instruct-c_abliterated-v2
- Qwen3-VL-8B-Instruct-unsloth-bnb-4bit
- florence-2-base-nsfw-v2
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- 18.6 GB xet
- 3.31 GB xet
- 4.28 GB xet
- 10.1 GB xet