import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Emuixom/Carnage")
prompt = "carnage, no humans, spikes, teeth, solo, sfw,sfw, jagged teeth, suggestive, mammal, dark hair"
image = pipe(prompt).images[0]Carnage
- Prompt
- carnage, no humans, spikes, teeth, solo, sfw,sfw, jagged teeth, suggestive, mammal, dark hair
- Negative Prompt
- blurry, bad quality
Model description
any-more
Trigger words
You should use carnage to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Emuixom/Carnage
Base model
black-forest-labs/FLUX.1-dev