Text-to-Image
Diffusers
Safetensors
English
Chinese
QwenImagePipeline
fp4
Abliterated
quantized
4-bit precision
Qwen2.5-VL7b-Abliterated
instruct
Diffusers
Transformers
uncensored
image-to-image
image-generation
Instructions to use FouCe11/QWEN_IMAGE_fp4_w_AbliteratedTE_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FouCe11/QWEN_IMAGE_fp4_w_AbliteratedTE_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FouCe11/QWEN_IMAGE_fp4_w_AbliteratedTE_Diffusers", 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
- Xet hash:
- 01c71560e7d80e4e3ee21448448405f493fb0fb03db4584687bf95d1108056d0
- Size of remote file:
- 11.4 MB
- SHA256:
- e04081d680d5bb294b2e57aea5b3aa1256d9e06263e907917fc241c5adc2fbe4
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